Traffic Study Report: (Peshawar - Torkham Section)
Traffic Study Report: (Peshawar - Torkham Section)
Traffic Study Report: (Peshawar - Torkham Section)
MINISTRY OF COMMUNICATIONS
NATIONAL HIGHWAY AUTHORITY ISLAMABAD
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List of Figures
List of Tables
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EXECUTIVE SUMMARY
The Transport sector has greater impact on the development and welfare of the people. Efficient
transport systems provide economic and social opportunities that have a multiplier effect in the
form of better accessibility to markets, improved employment levels, and additional investments.
Pakistan is taking benefits of its strategic location and has focused on to develop efficient and
well integrated transport and communication system by connecting remote regions of the country
into one road one Asia chain. With the help of China Pakistan Economic Corridor, roads and
railways infrastructure will integrate Pakistan with the regional countries which will result in
generating economic boom by integrating Pakistani markets with Central Asia, Middle East and
other parts of the world. The Corridor will be a strategic game changer in the region and would
go a long way in making Pakistan a richer and stronger entity. The investment on the corridor
will transform Pakistan into a regional economic hub and it will be confidence booster for
investors and attract investment not only from China but also from other parts of the world.
Other than transportation infrastructure, the economic corridor will provide Pakistan with
modern telecommunication and energy infrastructure, also.
National Highway Authority has envisaged Peshawar – Torkham Motorway project to provide
direct access to capital of Afghanistan. It will attract the “through” traffic from all over Pakistan.
The other targeted benefits include: Provision of a standardized access/exit controlled road with
good ride quality to reduce the vehicle operating costs (VOC’s) with direct impact on country’s
micro economics, easy access to ports and markets. Promotion of interprovincial harmony, social
and economic uplift of the Khyber Pakhtunkhwa province. Proposed motorway in the larger
context is the development of an economic corridor connecting Central Asian States through
Afghanistan by providing direct access to the Arabian Sea.
The proposed Peshawar – Torkham motorway starts from Peshawar falling in Khyber Agency
and terminates at Torkham. The total length of proposed motorway is approximately 50 Kms.
With a view to assess the existing and future traffic attracted and generated by the proposed
Motorway project, an in-depth traffic study was conducted. The purpose of the study was to
evaluate the financial / commercial feasibility of the proposed scheme. The study is based on
traffic surveys comprising volume counts and origin – destination surveys at selected sections.
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Two road sections were selected where surveys were carried out; Questionnaires were designed
for the collection of data. The surveys included traffic count, and origin-destination surveys.
Regions of influence were divided into zones to carry out Origin-Destination Surveys. Summary
of results of traffic count survey is given in table below:
The sample rate for O-D survey ranged from 9% to 41%. O-D tables were developed for eight
zones in the catchment area of proposed facility. The analysis of these O-D matrices produced
estimated volume of traffic attracted by Peshawar - Torkham motorway presented in table
below:
The projected traffic suggests that the proposed facility will generate significant traffic to attain
economic sustainability.
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CHAPTER 1 INTRODUCTION
The traditional definition of ‘Transport Sector’ is not confined to physical infrastructure such as
rails, roads, road transport, sea trade and related freight alone, but it also includes services such
as packing, delivery and storage as well as trade logistics. The factors like high freight,
insurance, longer delivery times and renewal costs are considered as important additional costs.
The aggregate transport and logistics costs - including opportunity cost, device standards and
trade facilitation – ultimately determine the efficiency of the Transport & Logistics Sector and
also represent the cost of doing business.
Sustainable economic development is dependent on a robust and low cost Transport & Logistics
Sector. Enhanced export competitiveness is also contingent upon the efficient performance of the
sector.
The Transport & Logistics Sector plays an important role in economic development and in
improving the competitiveness in export. The Transport& Logistics Sector claims 20 to 25%
share of the Annual Public Sector Development Program (PSDP), but this level of investment is
not enough to meet the growing needs. Approximately two to three times more investment is
required to enable the sector to perform in harmony with the needs arising from the expansion of
economic activities.
The population of Pakistan is estimated over 180 million with an area of 796,095 Sq. Km. The
density of population is 226 persons per Sq. Km. The rural urban ratio stands at 67:33. The
dominant occupation of the people is agriculture andurbanization is growing fast in the country,
while industrialization is now picking-up pace. Pakistan has five provinces namely Punjab,
Sindh, Khyber Pakhtunkhwa (KPK), Baluchistan and upgradedGilgitBaltistan. The population of
Punjab Province is 96.55 million, Sindh 42.28 million, Khyber Pakhtunkhwa 23.77 million and
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Baluchistan is 9.07 million people. Capital Territory Islamabad constitutes1.33 million while
Federally Administered Tribal Area has 4.20 million population.
The transport and logistics sector is the fourth largest sector in Pakistan. Transport sector
accounts for 12 percent of GDP, 21 percent of capital formation and 25 percent of the PSDP;
transport generates around 3 million jobs in Pakistan. Viewed as a whole the transport and
logistics sector generates substantial revenue for the government exchequer (in form of taxes and
duties). The sector comprises of a number of distinct modes and services, notably railways,
roads, road transport, ports, shipping, aviation and the logistics network. Railways and roads
dominate the sector.
The total inland traffic by road and rail transport is currently estimated at 239 billion passenger-
km of passenger traffic and 153 billion ton-km of freight traffic. Freight and passenger traffic has
been growing at 3% and 4.5% annum respectively. Road transport accounts for 95% of
passenger traffic and 97% of freight traffic. The de-regulation of the road transport services has
resulted in development of a competitive and vibrant Private Sector for goods and passenger
transport.
Pakistan’s National Road Network (National & Provincial Roads) comprises 260,000 km of
roads, of which 68.4% is of high-type. Network expansion has been rather modest; at a rate of
about 2,211 km / year (1996 – 2009). The focus had been on consolidation of the existing
network and up-gradation of low-type roads to high-type. The road spread – which facilitates
economic activity in many ways – is rather low; at 0.33 km of road length per sq km of land area.
It is relatively high in Punjab (0.51) and Sindh (0.57), but, low in Baluchistan (0.12) and Khyber
Pakhtunkhwa (0.30). In neighboring countries road spread ranges from 2.1 km/km2 in
Bangladesh and 1.1 km/km2 in India. In order to upgrade the road density to 0.50 km/km2 it is
estimated that approximately 138,000 km roads length (based on surface area of 796,096 sq km)
will have to be added to the network, which appear unattainable through the Public Investment
alone so a concerted effort would be required to leverage Private Sector funding to achieve the
target within proposed Plan period. The National Highway Authority (NHA) looks after the
construction and maintenance of the National Highways system linking the centers of population
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and economic activity to ports and neighboring countries. The highways system extends over
12,000 km and cater 80% of inter provincial passenger and freight traffic in the country. The
remaining road network is maintained by provincial and local Governments.
The present on-road vehicles stand at about 10.5 million. The National Highway Authority
(NHA) maintains the National Highway Network while the Provincial Communications &
Works Departments are responsible for the Provincial Road Network, Urban Road Network is
managed by respective City District Governments. Following the implementation of the
devolution plan, a majority of the intra-district Provincial Networks have been devolved to the
districts. The road transport services are regulated by the Provincial Governments through the
Provincial Transport Departments. The Provincial Transport Authorities (PTAs) and Regional
Transport Authorities (RTAs) plan, allocate routes, regulate, enforce and assert day-to-day
control over inter- and intra-city passenger transport services, which are dominated by the
Private Sector.
Pakistan Vision-2025 seeks to establish an efficient and integrated transportation system that will
facilitate the development of a competitive economy. Key related targets are to ensure reduction
in transportation costs, safety in mobility, effective connectivity between rural areas and markets
/ urban centers, inter-provincial high-speed connectivity, integrated road / rail networks between
economic hubs (including air, sea and dry ports) and also high-capacity transportation corridors
connecting major regional trading partners. Some of the specific targets include:
1.3.1 Roads
Raise road-density to a level of 0.45 km / Sq.Km by 2018, which will increase the existing road
National Network from around 260,000 km to 358,000 km.
1.3.2 Railways
Major upgrade of the railway system includes increasing speed from 95 km/h to 120 / 140 km/h;
doubling tracks of the mainline sections; increasing line capacity with a modern signaling
system; establishing North-South and East-West corridors and developing linkages through road
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and rail to Central Asian States, China, and other neighboring countries and development of a
separate freight corridor on railway tracks. Pakistan Railways will be made more profitable and
will be the quality service provider for passengers and freight.
1.3.3 Aviation
A key objective related to the Aviation Sector, will be the enhancement of the cargo, passenger,
infrastructure and handling capacity at important airports to meet the delivery needs of a modern
global supply chain. Further, a revised Civil Aviation Policy will be formulated. National Flag
Carrier will become a leading airline.
Pakistan’s seaports will require significant additional investments to upgrade their facilities and
infrastructure to meet global efficiency and cargo-handling standards and shipping services shall
be made competitive.
National Highway Authority strategy for Khyber Pakhtunkhwa, contains following broad
parameters:
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Road connectivity plays a critical role in the formation of industrial clusters, which in turn result
in agglomeration of economies attracting more firms. Firms choose for location in areas of high
connectivity. Industrial density in KPK is highest in the central districts. Both the degree of road
density and proximity to the motorway and main highways are important factors behind
increased industrial activity in KPK.
The province has a low level of accessibility due to its location, which is far away from
the seaport. This results in a higher cost of production for many goods;
Higher costs inhibit the competitiveness of the products produced in the region;
The poor condition of roads in addition to low levels of funding is mainly due to the non-
existent enforcement of axle load limits. Funding for road maintenance and repairs is
inadequate and unpredictable.
To have a good quality integrated road network that stimulates economic activity and eases the
logistical issues and transportation-related burden on prospective entrepreneurs, the following
initiatives are being taken:
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The provision of access to areas with natural resources, especially oil, gas and minerals;
Increased access for rural communities through the development of access and farm-to-
market roads;
A complete asset record of roads and priority funding for repairs and maintenance;
Integrated approach to infrastructure development. Power generation and supply, roads
and rail as well as support services will be developed in a coordinated way among the
various departments of KPK;
National Highway Authority (NHA) will strive to use Public Private Partnerships (PPP)
in the construction of infrastructure;
NHA is moving towards a well-defined and integrated approach to transport policy
formulation, planning and implementation.
If we compare the road network of Khyber Pakhtunkhwa and Punjab, it is evident that the road
network of Punjab is much more widespread, dispersed geographically and has multiple clusters
(Faisalabad, Islamabad, Sialkot, Multan etc.). These road network clusters overlap with the
main industrial clusters in the Punjab, suggesting the presence of ‘locational economies’ which
allow industry to benefit from increased connectivity to factor and product markets. The
dispersion of road densities in Khyber Pakhtunkhwa is markedly different from Punjab. There is
a sizeable cluster of roads concentrated in the west-central region of the province covering
Peshawar-Mardan-Nowshera. The road network thins out considerably as we move away from
this central region.
The Transport sector has greater impact on the development and welfare of the people.Efficient
transport systems provide economic and social opportunities that have a multiplier effect in the
form of better accessibility to markets, improved employment levels, and additional investments.
An efficient transport system reduces costs in many other economic sectors. Currently, 40% of
Khyber Pakhtunkhwa people do not have access to any form of transport, compared to 30% for
Pakistan as a whole.
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In Khyber Pakhtunkhwa, the transport sector provides about 11% of economic activity. The
provincial labor force engaged in transport sector accounted for a sizeable 7.50% of the total
labor force during the year 2012 – 2013.
In view of the deficient transportation networks, the economic impact of transport investments
will be significant. Developing the sector as an efficient logistic and urban transportation
network presents enormous potential for establishing a service economy.
The International Growth Centre (IGC) aims to promote sustainable growth in developing
countries by providing demand-led policy advice informed by frontier research. Based at the
London School of Economics and in partnership with Oxford University, the IGC is initiated and
funded by DFID. The IGC has 15 country programs.
This report has been prepared under the overall supervision of the management team of the IGC
Pakistan program.
This section discusses the major foreseeable benefits in industrial agglomeration, labor market
linkages and poverty reduction that can accrue from investing in infrastructure development and
increased transport connectivity in the province.
Firms in Pakistan chose to locate in areas of high connectivity or road density because of better
access to raw materials, factor and product markets (Burki and Mushtaq 2010). Road
connectivity plays a critical role in the formation of industrial clusters, which in turn results in
agglomeration economics attracting more firms. This creates a virtuous cycle of industrial
agglomeration benefiting the whole sector in the three ways: pooling of labour with the required
skill-sets, reduction in the cost of transportation and technological diffusion due to the exchange
of idea.
This pattern of industrial clustering is evident in KPK; industrial density is highest in the central
districts and Swat. Moreover, districts with comparable road density, but which are proximate to
the Motorway (M-1) or are connected by a National Highway have significantly more industrial
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units than the districts that do not enjoy the same proximity. Therefore, both the degree of road
density and proximity with the Motorway and main Highway are important factors behind
increased industrial activity in Khyber Pakhtunkhwa.
The top three districts (by number of operating industrial units) for the five largest industries of
the province indicate that Peshawar and Swat have the highest number of industrial units.
Furthermore, Mansehra, Nowshera and Buner host the highest number of production units for
marble & chips. Also, Nowshera is a very important logistical node as it connects Peshawar with
Haripur and Buner through Swabi. It is interesting to note that Swat is the only district in
northern KPK which has high industrial clustering. The regions of Kohistan, Battagram, Shangla,
Hangu, Karak and Tank are the least industrialized districts and also have relatively low road
density and lack of access to the Motorway or major highways.
The industrial and economic disparity between different districts in KPK may also be a
consequence of geographical features such as elevation and terrain, which can potentially impede
infrastructure development. Despite these geographical constraints, the medium to long-term
benefits of infrastructure development in linking remote areas to economic hubs would far
exceed the initial costs associated with it.
The link between labor supply / migration, demand for goods and services and investment is
essentially bi-directional. The availability of labor supply and more importantly, the demand of
goods and services generated by cities with higher population is an incentive for business and
industries to locate nearby.
An efficient and well‐planned road network can widen the geographical perimeter of an area’s
labor market and also facilitate inter-provincial labor migration. KPK has 38% of its population
below the poverty line and most of them look for employment opportunities either in the more
developed central region or outside the province. The link between transport infrastructure and
poverty alleviation in Pakistan is supported by empirical evidence, which shows that an increase
on one standard deviation in a districts road density is correlated to approximately a 4.4%
reduction in poverty (LUMS, 2011).
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Although better transport infrastructure helps alleviate poverty and spurs economic growth it can
potentially lead to unregulated urban sprawl, congestion costs, environmental and social
externalities. Therefore increased migration, population growth and urbanization place
tremendous pressure on the infrastructure of the provincial Capital and the Central Regional of
KPK.To mitigate the negative impact of rapid urbanization it is imperative that major
investments in new transport projects are made along with an emphasis on the maintenance of
the existing transport infrastructure.
1.8.2 Priority Areas for the Khyber Pakhtunkhwa Government in Transport Sector
Given the present situation and potential from investment, the following are identified as the
priority areas for the Khyber Pakhtunkhwa Government in the transport sector:
Connecting Relatively Poor Areas to Economic Hubs: It is evident from the analysis of spatial
distribution of industry and road infrastructure that most of the economic activity is concentrated
in the central region of KPK. Thus the broader aim of the transport infrastructure policy should
be to improve the connectivity of the industrial clusters in the center with the less developed
regions of the province. Such a policy would eventually lead to increased economic activity,
facilitate the inter-provincial flow of goods, services and labor and create employment and
income across Khyber Pakhtunkhwa, reducinginter‐district socioeconomic disparities. In
particular investments in highways and road networks is required in Kohistan, Battagram, Karak
and Tank in order to better connect these regions to the rest of the province and the country.
NHA should employ the public-private partnership model for these new investments and
leverage private sector investment to reduce the burden on public finance
As stated before, there is high concentration of population and congestion in the central areas of
KPK. In the absence of an extensive, well connected and properly functioning railway service,
roads and highways are heavily used for both passenger and freight traffic. To mitigate the
resultant deterioration of road and transport infrastructure, the existing road and highway
networks need to be improved with special emphasis on transport infrastructure up gradation and
maintenance.
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1.8.4 Multimodal Transport Network to Boost International Trade and Domestic Commerce
The current transport system in the country in general and KPK in particular is essentially
uni‐modal there is an excessive reliance on road networks for both passenger and freight traffic
(trucking). KPK being a landlocked province can utilize the potential of the railways sector in
conjunctionwith the road network connectivity of Pakistan with China,AfghanistanandCentral
Asia.This would significantly boost trade and commercial activity within the province.
Like the road network, the railway service needs to extend to the northern parts of the province
in order to galvanize economic activity in the relatively low‐income area. Moreover, there is a
need to improve road connectivity to the railway stations to facilitate both passengers and freight
traffic.As stated above, the main deficiency in railways is the lack of freight traffic and
inadequate locomotives. A multi‐modal transport policy is required which connects roads and
railways optimally to best utilize both the trucking and railway freight system. Road and railway
networks are complementary because railways freight is the most efficient long distance carrier
of bulk freight, while trucking is morecost effective for smaller loads and shorter distances. Thus
railway freight can bring goods, raw material etc. from longer distances to outskirts of cities
where it is loaded onto trucks for transport within the city.
National Highway Authority intends to undertake the detailed design for Peshawar-Kabul
motorway project, which is to build a motorway from Peshawar city to the Afghan capital Kabul.
The four-lane road via Jalalabad and Torkham would cover about 281 kilometers in which the
Peshawar-Torkham (50km) will be constructed from scratch meanwhile the existing structure of
Torkham-Jalalabad (76km) and Jalalabad-Kabul (155km) will be upgraded.
The project, upon completion, will become part of the Pakistan motorway network up to
Torkham and will be linked with Peshawar-Islamabad motorway. Location map of the project is
attached as Map-1.The project road has been divided into following sections for uniformity and
ease in construction:
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Scope of this study is to examine the existing road network between Peshawar and Torkham and
to ascertain future traffic volume (with considerable accuracy) for the proposed motorway. For
this purpose classified traffic counts has been obtained at the existing road network. The
obtained data is then utilized in estimation of Growth Factors, Estimation of Projected volumes,
estimation of Design Traffic and lastly the Capacity Analysis. This report outlines the traffic
study carried out to evaluate the frequency of traffic along the existing sectional length.
Following activities have been carried out to evaluate the intensity of traffic:
Traffic forecast and working of growth rates through use of justifiable inputs;
Evaluation of the existing traffic i.e., predicted future traffic (10 year design life);
Computation of Equivalent Single Axle Loads (EASL’s) based on the data obtained;
Capacity Analysis for Level of Service (LOS) determination.
The sectional length considered for the purpose of this report is from Peshawar to Torkham. This
route is on west side of Peshawar City. The area is urbanized and populated predominantly with
medium sized community clusters. Keeping in view the scope and objective of the project, two
locations were determined for traffic counts and the counts were obtained for three consecutive
days at these locations.
Since the proposed motorway is intended to smooth out the traffic between Pakistan and
Afghanistan, so in this connection, it has been observed that majority of the Afghanistan bound
passenger car traffic originates at Peshawar. The cargo traffic from different sea-ports In
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Pakistan also joins the main traffic to Afghanistan at Peshawar. Therefore a traffic count station
was judiciously set-up at Bighyari-post Jamrud, a town abutting district Peshawar. The next
station was located near Torkham border at Michni-post Landikotal. The counts were obtained
for traffic in both direction and for three consecutive days so that a complete picture of the traffic
pattern may be obtained.The identified traffic count stations are as follows:
The primary objective for this traffic study is to determine traffic statistics for the motorway
between Peshawar and Kabul and an estimate of the future expected traffic after completion of
the said motorway project. This has been accomplished by establishing current traffic conditions
of existing Peshawar-Torkham road.
• Boost bilateral trade between Pakistan and Afghanistan and to facilitate Pakistan’s export
to Afghanistan.
• Improve connectivity between the two neighbor’s and with other Central Asian States.
• Provide commercial link between south and central Asian nations.
• Improve the connection of provincial and national highways to the Central Asian States.
• Provide access to income and employment opportunities.
• The completion of the project would contribute to Asia's infrastructure development and
will spur economic growth, reduce poverty, and improve people's lives.
Type, Volume, Pattern and Growth of Traffic on any road are the most important factors to be
considered in roadway design, structural design and pavement structure determination. These
studies encompass:
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1.13 Methodology
In order to meet the objective of the study, following methodology was adopted, which is
presented here in descriptive as well as in framework form.
• Existing scenario: in this step the existing road alignment were studied through available
maps and potential locations which are able to generate considerable traffic volume
especially of heavy vehicles were determined.
• Data collection: in data collection step, both the type of data as well as its methodology
of collection were determined. The collected data will then be analyzed according to
standard procedure for future traffic volumes on the proposed motorway.
• Traffic data analysis: this is a vital stage of traffic study since it provides a complete
picture with respect to traffic pattern.it is at this stage that traffic volumes are estimated
and analyzed operationally as well as volumetrically.
• Traffic report preparation: this steps involves the preparation and assemblage of
collected data and analysis results in a presentable form in accordance with standard
operation procedures.
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2.1 General
Traffic flow data is important in planning of a particular section of the road network and for its
subsequent maintenance. Traffic flow pattern appears to be random in distribution, as it reflects
people’s motivation in terms of different composition of vehicles on different types of roads
under varying environmental conditions. Therefore the data being collected is a methodological
statistics, because traffic flow pattern follows a random distribution. Despite such complexities,
it does follow fairly and clearly defined patterns that are possible to classify and analyze. Thus,
traffic data collection and analysis follows varying trends and plays an important role in the
evaluation and management of road network schemes.
The traffic analysis for the prospective traffic on project road requires that comprehensive traffic
data be collected on ground and then analyzed. Questionnaires were designed for the collection
of data. The survey stations were set up to conduct traffic count, and origin-destination, surveys.
Zones were developed for Origin-Destination Surveys
24 Hours traffic count was carried out at 2 locations while origin-destination data was collected
for both stations. Both the surveys were conducted simultaneously. Traffic data was then entered
/ punched manually by the enumerators and quality checks performed. Finally a simple data
analysis was carried out with the refined numbers.
All details related to methodology to conduct surveys are described below. Final results are
summarized based on the spreadsheet analysis and shown accordingly.
The survey was carried out at two locations. The Manual Classified Traffic Counts survey at
each location was carried out for 24 hours from 08:00 to 08:00 (conducted by 3 teams), while
Origin Destination survey was done for 12 hours from 08:00 to 20:00 (conducted by 2 teams);
working on an 4-hourly basis. The survey schedule for all the teams was devised and provided to
supervisors. Off duty staff remained at survey site to assist during rush hours.
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Besides consultant staff, local police assistance was available for guiding and handling traffic at
the survey sites.
Although road sections where surveys were to be carried out had been selected by experts and
consultant and approximate locations of survey points had been marked, yet the exact location of
survey site was determined by the supervisors according to availability of suitable place. It was
preferably on a straight stretch of road, visible from distance, with sufficient shoulder space to
make an interview bay.
Each survey team was provided with traffic cones to be placed on the road to guide vehicles for
interviews.Surveyors were provided with reflective jackets for each team to ensure visibility for
oncoming traffic. The supervisors managed proper flagging of the survey points. Supervisors
were also provided with stationery, electric torches, gas cylinders, water coolers, glasses, tables,
chairs, storage box, floor mat etc to conduct their 24 hrs activities in a smooth and professional
way.
Survey team of each shift had a supervisor, enumerators and a helper. Few enumerators
undertook classified volume counts while others conducted the origin-destination survey. The
enumerators interviewed as many vehicles as possible during survey hours without causing
traffic to hold up. While a group of vehicles were being interviewed, others were allowed to pass
by. Volume Counts were made for away moving traffic and not approaching traffic.
The police officers on duty with the survey staff managed the traffic at the survey site. They
directed vehicles for interviews and helped in managing the traffic.
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It is self-explanatory. Volume counts were carried out for two directions separately. Each group
of enumerators did traffic count in one direction. The number of enumerators in each direction
depended on the traffic volume. A new form was used in the beginning of each hour. For 24-
hour traffic in two directions, there were 24 forms for each location in each direction.
General information on top of the form was provided on all forms beforehand. This included:
(i) Survey site location – give brief description of road section and site location
as provided by the supervisor;
(ii) Survey Direction – As traffic in two directions was counted separately, the
direction of traffic was indicated on each form by indicated traffic From and To
(iii) Date and Day - record date in 6 digits as dd-mm-yy and note day of the
week;
(iv) Time Hour Beginning – Give exact starting time in hours and minutes e.g.
0800. Use new form at the beginning of each hour.
The form contained 10 vehicle categories of which 3 were for passenger vehicles and 7 for goods
vehicles as follows:
i. Cars/Jeeps
ii. Wagon/Coaster/ Hiace
iii. Bus/Coach
iv. Mini trucks
v. 2-axle trucks
vi. 3-axle trucks
vii. 3-axle trucks (Articulated)
viii. 4-axle trucks
ix. 5-axle trucks
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x. 6-axle trucks
Space for each vehicle category was approximately according to their proportion in traffic. At
the end of the survey shift, forms were reviewed and volume of traffic of the given hour was
recorded. It was also ensured that top of each form had been properly filled in and was then
handed over to the supervisor.
Various terms used in description of results of this survey are as elaborated below:
2.2.6.1 Origin
It is the location where a trip begins. It is described in terms of a well‐known locality, a city
district. All survey origins have been geo‐coded for precision. Each origin has also been assigned
a zone numberto support the application of the survey data for travel demand modelling and
forecasting.
2.2.6.2 Destination
It is the location where a trip ends. It has similar attributes as the trip origin.
2.2.6.3 Origin‐Destination
Describes both ‘ends’ of a single trip. This term is commonly abbreviated to ‘O‐D.’
2.2.6.4 Zone
It is a small‐area geography that divides the area of interest i.e. Khyber Pakhtunkhwa spatially.
The zones, also known as transportation analysis zones (TAZs) are used for modelling. There are
currently 8 TAZs,including one external zones outside the KPK boundary.
There was one form for all vehicles categories excluding motorcycles and tractors. Forms were
numbered and bound in books. Each enumerator kept one book with him and used for the vehicle
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that was directed to him. Information on top of the form, concerning location, date, time, etc. was
the same for all forms, as follows:
i. Survey site location – give code number of site location provided by the
supervisor;
ii. Survey Direction – Give name of place against:
iii. From (place at start)To (place at the end);
iv. Date and Day - record date in 6 digits as dd-mm-yy and note day of the week;
v. Time Hour Beginning – Give exact starting time in hours and minutes as 0800;
vi. Weather – Note down the weather as fair, poor, rainy & foggy;
vii. Name of Interviewer – Write your name clearly and legibly;
viii. The details concerning ‘Coded by and Checked by’ will be filled in the office.
The above information was filled in before hand in the beginning and at the end of the shift.
Details of specific information for the form are given below:
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Below is a brief synopsis of results for both types of surveys that have been undertaken.
Present traffic on the project is always base point for traffic study for any up
gradation/rehabilitation project. Therefore, 3-day twenty-four hour traffic count survey was
conducted in the month of April 2017 to assess the traffic volume and vehicular configurations.
Locations of the traffic count station were selected with due consideration to the existing road
network with the aim to cover maximum traffic for determining the best representation of traffic
plying on the road.Twenty-four hour traffic counts at two locations are given in Table 2and their
respective average daily traffic is presented in Table 3 below:
The traffic count survey was conducted for all 10-vehicle categories. It was found that the lowest
average per day traffic count in both directions was “5843 VPD” at Michni Post
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Landikotal(station 2) while the highest per day traffic count in both directions was “10556
VPD”Bighyari Post Jamrud (station 1).
Graphical presentation for hourly variations at both stations with peak hour traffic has been
shown in Figures 1 to 2below:
2200
2000
1800
1600
Vehicle Per Hour
1400
1200
1000 Traffic Peshawar to Torkham
800 Traffic Torkham to Peshawar
600
400 Total Traffic
200
0
Time in Hours
Figure 1: Hourly Variations in Traffic Volume (Bighyari Post Jamrud)
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1800
1600
1400
Vehicle Per Hour
1200
1000
800 Traffic Peshawar to Torkham
600 Traffic Torkham to Peshawar
400 Total Traffic
200
0
Time in Hours
Figure 2: Hourly Variations in Traffic Volume (Michni Post Landikotal)
The survey results reveal that the car is the dominant mode of travel making 60.3%of vehicle
streams on both stations. These percentages are the aggregates of vehicles for 24 hour traffic at a
station and don’t give the true picture of vehicle composition variations during different hours of
the day. The percentage composition of traffic at respective sections of roads are given in the
table 5 and shown in figure 3 and 4 below:
Wagon/ Coaster/
Truck (2 Axles)
Truck (3 Axles)
Truck (4 Axles)
Truck (5 Axles)
Truck (6 Axles)
Trucks (3 Axle
Articulated)
total %age
Bus/ Coach
Mini Truck
Car/ Jeep
Mini Bus
Sr.
No.
Stn.
1 51.8 32.8 0.1 0.5 4.6 1.8 0.9 1.7 1.0 4.8 100.0
No. 1
Stn.
2 68.7 16.5 0.1 0.9 3.6 1.2 0.6 1.3 0.6 6.6 100.0
No. 2
Overall 60.3 24.7 0.1 0.7 4.1 1.5 0.7 1.5 0.8 5.7 100.0
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1% 0%
2% Cars/Jeep
1%
2% 5%
Wagons/coaster
Pickup
0% 4%
BUSES
2-Axle Truck
52%
3-Axle Truck
5 -Axle Truck
6 -Axle Truck
Mini Truck
1% 1%
0%1%
Cars/Jeep
1% 7%
Wagons/coaster
0% 4% Pickup
BUSES
2-Axle Truck
16%
3-Axle Truck (Rigid)
3-Axle Truck
5 -Axle Truck
6 -Axle Truck
Mini Truck
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For the purpose of analysis of the survey data of this study, following zones were constituted:
Zone -II: Jamrud, Landikotal, Nasir Bagh, Sufaid Sang, Mathra, upto Swat;
Zone-IV: Nowshera, Mardan, Swabi, Abbotabad, Mansehra, Northern Areas and China etc;
Zone-V: Matanni, Dara Adam Khel, Kohat, Hanju, Sherkot, Sourthern KPK;
Zone-VI: This zone comprised of cities in the south and west like Hassan Abdal, Taxila,
Rawalpindi, Islamabad and whole Punjab;
The O-D survey was conducted for all vehicle categories except motorcycles and tractors.
Survey included major information as origin and destination of the traveling vehicle, purpose of
visit, the kinds of goods it was transporting and the approximate journey time. Survey was done
randomly and that may be the reason for different no. of surveys for a certain vehicle category at
different stations.
The data obtained from field was coded and entered in the computer. For the purpose of analysis
O-D matrices were developed for following categories of vehicles:
• Cars/Jeep;
• Wagons/Coasters;
• Buses;
• Mini Trucks;
• Trucks 2, 3, 4, 5 and 6 Axle Vehicles.
As elaborated in one of the previous sections, the sample size depends upon overall traffic
volume at a road section, the composition of traffic stream and approach of a driver. Stratified
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random sampling technique was used for the survey. Various categories of vehicles were
interviewed randomly. However, the stratification was among various categories of vehicles. The
details of size of sample for OD survey at both survey stations is described in table 6below:
The sample OD matrices developed from field data obtained were extrapolated using the Manual
Classified Traffic Count Survey Results to obtain Estimated OD matrices for current travel
pattern at various road sections. These OD matrices for individual sections were statistically
treated to combine into unified matrices for entire network range.
Diverted traffic is the traffic which is attracted from an alternative route to the project. For the subject
road section diverted traffic has been taken for the traffic which is currently using N-50 for reaching to
Kabul. Generated traffic is the growth in traffic along a roadway associated with the decrease / increase in
user costs associated with utilizing that roadway and an elasticity factor. Generated traffic is the traffic
generated by improving the project road including the development traffic.
Choice of route for a trip depends upon a number of factors. However the most significant ones
are the travel time which mainly depends on quality of road, fuel economy which is a function of
a number of variables including road condition, speed of vehicle, engine technology etc and
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accessibility of an express road facility which depends on the connecting road network within a
geographical region.
On the basis of location of the project road, quality of facility it is going to offer and the level of
service, it is anticipated that the trips between following pairs of zones will be using part or
whole length of the project road:
Zone 1-zone 2, Zone 1-zone 3, Zone 1-zone 4, Zone 1-zone 5, Zone 1-zone 6, Zone 1-zone 7,
Zone 1-zone 8.
It is also assumed that 50 % of following OD trips will be made using the proposed Motorway:
Zone 2-zone 3, Zone 2-zone 4, Zone 2-zone 5, Zone 2-zone 7 and Zone 2-zone 8
Based on these assumptions, the anticipated traffic that is likely to be diverted /generated for the
proposed Motorway is given in table 7 below:
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Historical traffic count data was not available for the project road. Therefore, for estimation of
future traffic growth factors, following traffic influencing parameters have been used:
Traffic volume and its growth are directly related to the socio–economic parameters like
population, agriculture, mineral and industrial growth. It is actually a prerequisite for estimation
of future traffic growth and its pattern. The socio–economic study regarding immediate and
expanded zone of influence of the project area is intended to provide an understanding of the
dynamics regarding various sectors of regional economy contributing towards economic growth
of the area.
Development in Khyber Pakhtunkhwa has direct influence on the economy of the project area.
Therefore, whole of the Khyber Pakhtunkhwa has been considered as expanded zone of
influence. Based on past growth rates and future target growth rates as planned and with the
application of statistical technique of best fit equation to time series data regarding Agriculture,
Horticulture and Mineral growth, average sector growth rates have been computed as given in
Table 8 below:
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Passenger traffic is the function of population growth. Population grew at 2.61 percent per
annum. During last ten years registered passenger vehicular traffic showed an annual growth of
5.2 percent. It implies that passenger vehicles increased by 1.99 time that of population growth.
According to “Ten Year Perspective Development Plan 2001-11” it is expected that population
of the Pakhtunkhwa will grow at 1.98 percent per annum from 2004 to 2011. Therefore, it has
been assumed that passenger traffic will grow at 3.30 percent per annum in future.
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Data regarding various types of vehicles registered in Pakhtunkhwa was available from year
2001 to 2009 showed that growth in case of buses is highest (5.95 percent per annum) followed
by cars/jeeps (5.28 percent per annum). Growth in case of trucks was 3.4 percent per annum.
Overall registered vehicles have been growing at 5.41 percent per annum.
For the purpose of estimation of future growth trend in respect of various types of vehicle
registered in Pakhtunkhwa, statistical technique of regression analysis for best–fit line / curve has
been used. Various equations tried are as follow:
Linear
Polynomial
Exponential
Power
Log
Best-fit equations for number of vehicles registered in Pakhtunkhwa have been developed and
are given below:
x is the consecutive year of the period. Based on above equations future growth rates have been
calculated and are shown Table 10 below:
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Table 10: Future Growth Rates Passenger Traffic vs. Freight Traffic
Vehicle Type 2010 – 15 2015 – 20 2020 – 25 2025 – 30 2030 – 35
Best-fit equations for registered vehicles in Project area have been developed and are given
below:
Based on above equations future growth rates have been calculated and are shown below Table
11 below:
Fuel consumption in Transport Sector is also an important indicator of traffic growth behavior. It
has been observed that fuel consumption has increased from 4841 tons in year 2001 to 8158 tons
in year 2008 – 09 showing a growth rate of 5.3 percent per annum vehicles have been growing at
5.41 percent per annum.
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JICA in collaboration with the NTRC carried out the Pakistan Transport Plan Study in March
2006. It suggests land transport demand for freight is assumed to grow at an average annual rate
of 6.3% (10.0% for railway and 6.1% for road) for next five years.
For the same period the study assumes a growth rate of 7.6% per year. This means that the
elasticity of land freight traffic demand against GDP is more than 1.0.
In past the land freight traffic volume has increased at an average rate of 8.6% in terms of ton-
km from 1990/91 to 2003/04. This is higher than the growth rate of GDP which was 5.2-7.3%
during the same period. Following table gives the summary of projected traffic and estimated
growth rates as estimated by the subject study:
On the basis of parameters discussed above future traffic growth rates in respect of various types
of vehicles have been calculated and summarized in Table 13 below:
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The traffic counts were carried out in the month of April 2017 for three day in order to check the
volume of traffic from Peshawar to Torkham. Types of Vehicle surveyed include car, jeep,
wagon, coasters, passenger buses, mini trucks and multi axle trucks.
The traffic counts were conducted direction wise in the field i.e from Peshawar to Torkham and
Torkham to Peshawar, while they were combined for the calculation of Average Annual Daily
Traffic (AADT). Table 14 presents the AADT for the project road.
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AGR (%) 4.74 4.74 4.74 4.74 6.78 6.78 6.78 6.78 6.78 6.78
Base Year 2017 5019 2280 7 57 361 136 65 135 70 474 8,604 3,140,460
Const. 2018 5288 2402 7 61 386 146 70 145 75 507 9,087 3,316,748
Period 2019 5539 2516 8 65 413 155 74 154 80 542 9,546 3,484,307
1 2020 6828 2883 10 122 486 181 87 182 93 665 11,538 4,211,198
2 2021 7134 3013 11 130 518 193 93 194 99 709 12,092 4,413,580
3 2022 7454 3147 11 139 552 205 99 206 105 755 12,674 4,625,927
4 2023 7788 3288 12 148 588 219 105 220 112 805 13,284 4,848,745
5 2024 8137 3436 12 158 627 233 112 234 120 858 13,925 5,082,565
6 2025 8501 3590 13 168 668 248 119 249 127 914 14,597 5,327,948
7 2026 8873 3747 13 178 710 264 127 265 135 972 15,284 5,578,528
8 2027 9260 3910 14 190 755 281 135 282 144 1033 16,003 5,841,181
9 2028 9665 4081 14 202 802 298 143 300 153 1098 16,758 6,116,505
10 2029 10087 4260 15 215 853 317 152 319 163 1168 17,548 6,405,128
11 2030 10528 4446 16 228 907 337 162 339 173 1242 18,377 6,707,713
12 2031 10975 4634 16 242 963 358 172 360 184 1318 19,220 7,015,368
13 2032 11440 4831 17 257 1021 380 182 382 195 1398 20,103 7,337,490
14 2033 11925 5035 18 273 1084 403 194 405 207 1484 21,027 7,674,780
15 2034 12430 5249 18 289 1150 428 205 430 220 1575 21,994 8,027,974
16 2035 12958 5472 19 307 1221 454 218 456 233 1671 23,008 8,397,843
17 2036 13507 5704 20 326 1295 482 231 484 247 1773 24,069 8,785,199
18 2037 14080 5945 21 346 1375 511 245 514 262 1882 25,181 9,190,894
19 2038 14677 6197 22 367 1459 543 261 545 278 1997 26,345 9,615,822
20 2039 15299 6460 23 389 1548 576 276 578 296 2119 27,564 10,060,923
Loaded and Unloaded ratio of 80:20 is taken for calculation of ESALs. Directional distribution
factor is taken as 0.50 for two directional traffic flows. Lane distribution factor is adopted 0.9
according to the number of lanes as follows:
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1 100
2 80 – 100
3 60 – 80
An equivalent axle load factor (EALF) defines the damage per pass to a pavement by the axle in
question relative to the damage per pass of a standard axle load usually 18-kip single axle load.
According to AASHTO method, EALF is based on type of pavement, type of axle, SN of
pavement, terminal serviceability index (Pt) of pavement. Under heavy axle loads with an
equivalent factor much greater than unity, the EALF increases as Pt or SN decreases. This is
expected because heavy axle loads are more destructive to poor and weaker pavements than to
good and stronger ones. Practically, EALF is not very sensitive to pavement thickness and a SN
of 5 may be used for most cases. Most of the major highway designs have structural number of 5,
therefore, it was considered appropriate to assume SN as 5. EALF’s of different trucks carrying
maximum allowed load and actual loads have been taken from NTRC Axle load study 1995,
presented in Table 16.
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The EALF’s are used in the calculation of Cumulative Equivalent Single Axle Loads (CESAL’s)
in one direction on projected traffic for 10 and 20 year design period. Average daily traffic
(ADT) count has been multiplied by National Transport Research Centre (NTRC) weekday
factor and coefficient of seasonal variation to convert ADT into Average annual daily traffic
(AADT). Detailed working is presented as table 17 below:
AGR (%) 4.74 4.74 4.74 6.78 6.78 6.78 6.78 6.78 6.78 6.78
Loaded
Damaging 0.767 2.52 4.67 8.84 9.26 10.35 10.35 10.84
ESALs ESALs ESALs
Factor
Empty
0.042 0.052 0.075 0.092 0.385 0.495 0.505
2017 Base Year 5019 2280 7 57 361 136 65 135 70 474 3,210,040 3,210,040 1,444,518
2018 Const. 5257 2402 7 61 386 146 70 145 75 507 3,435,984 6,646,024 2,990,711
2019 Period 5506 2516 8 65 413 155 74 154 80 542 3,668,889 10,314,913 4,125,965
2020 1 6794 2883 10 124 495 184 88 185 94 677 4,505,392 14,820,305 5,928,122
2021 2 7098 3013 11 132 527 196 94 197 101 721 4,800,419 19,620,724 7,848,290
2022 3 7416 3147 11 140 562 209 100 210 107 768 5,114,767 24,735,491 9,894,197
2023 4 7749 3288 12 149 598 223 107 223 114 818 5,449,701 30,185,193 12,074,077
2024 5 8096 3436 12 159 637 237 114 238 122 872 5,806,570 35,991,762 14,396,705
2025 6 8459 3590 13 170 679 253 121 254 130 929 6,186,809 42,178,571 16,871,429
2026 7 8828 3747 13 180 722 269 129 270 138 988 6,577,726 48,756,297 19,502,519
2027 8 9214 3910 14 192 768 286 137 287 147 1050 6,993,345 55,749,642 22,299,857
2028 9 9617 4081 14 204 816 304 146 305 156 1117 7,435,227 63,184,869 25,273,948
2029 10 10037 4260 15 217 868 323 155 324 166 1187 7,905,032 71,089,901 28,435,960
2030 11 10475 4446 16 231 923 343 165 345 176 1262 8,404,524 79,494,425 31,797,770
2031 12 10920 4634 16 245 979 364 175 366 187 1339 8,918,774 88,413,198 35,365,279
2032 13 11383 4831 17 260 1039 387 186 388 198 1421 9,464,491 97,877,689 39,151,076
2033 14 11865 5035 18 276 1103 410 197 412 211 1508 10,043,602 107,921,292 43,168,517
2034 15 12368 5249 18 292 1170 435 209 437 223 1601 10,658,150 118,579,441 47,431,776
2035 16 12893 5472 19 310 1242 462 222 464 237 1699 11,310,302 129,889,744 51,955,897
2036 17 13439 5704 20 329 1318 490 235 492 252 1803 12,002,361 141,892,105 56,756,842
2037 18 14009 5945 21 349 1399 520 250 522 267 1913 12,736,769 154,628,874 61,851,550
2038 19 14603 6197 22 371 552 265 554 283 2030 1484 13,516,116 168,144,991 67,257,996
2039 20 15222 6460 23 393 586 281 588 301 2154 1575 14,343,154 182,488,145 72,995,258
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Mini Truck
4%
BUSES
1%
BUSES
6 -Axle Truck
36% 2-Axle Truck
3-Axle Truck (Rigid)
2-Axle Truck
5 -Axle Truck 28% 3-Axle Truck
5%
4 -Axle Truck
4 -Axle Truck 3-Axle Truck
10% (Rigid) 5 -Axle Truck
11%
6 -Axle Truck
3-Axle Truck Mini Truck
5%
Traffic is the basic input for capacity analysis of highway facility. For capacity analysis / Level
of Service determination, traffic is taken in terms of Passenger Car Units (PCU). In case of mix
traffic phenomenon, conversion factors are used to convert mix traffic into Passenger Car Units
(PCU). The traffic in terms of Passenger Car Units(PCU) is obtained by multiplying these factors
with traffic volumes of individual vehicles. Traffic factors for different categories of vehicles
were taken from Highway Capacity Manual (HCM 2000).Table 18 gives the average annual
PCU for different classes of vehicles up to 20 years after construction of facility.
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Traffic Study Report for (Peshawar-Torkham Section) of
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The level of service denotes the level of facility one can drive from a road under different
operating characteristics and traffic volumes. The following are used to evaluate the level of
service:
1. Speed and travel time, including the operating speed and overall travel time consumed in
traveling over a section of roadway;
2. Traffic interruptions or restrictions, with due consideration to the number of stops per
unit length, delays involved and the speed changes necessary to maintain pace in the
traffic stream;
3. Freedom to maneuver to maintain the desired operating speeds;
4. Driving comfort and convenience reflecting the roadway and traffic conditions in-so-far
as they affect driving comfort and convenience of the driver;
5. Economy, with due consideration of the operating cost of the vehicle;
Even though it is desirable to consider all the above factors in identifying a particular
level of service, it is difficult to incorporate all these in the absence of accurate data. The
Highway Capacity Manual (HCM), therefore utilizes (i) travel speed and (ii) the volume /
capacity (v/c) ratio depending upon the particular problem. As regards the travel speed, the
Manual recommends the use of operating speeds on those types of highway carrying generally
uninterrupted flow, such as in rural areas. For urban locations, the Manual recommends the use
of average overall travel speed.
The operating conditions for the six levels of service selected by the Manual are given below
level a representing the highest and level F representing the lowest level:
Level of Service A: Free flow, with low volumes and high speeds. Traffic density low, with
speeds controlled by driver’s desires, speed limits and physical roadways conditions. Little or no
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restriction in maneuverability due to presence of other vehicles and drivers can maintain their
desired speed with little or no delay.
Level of Service B: Zone of stable flow, operating speeds beginning to be restricted somewhat
by traffic conditions. Drivers still have reasonable freedom to select their speed and lane of
operations. Reduction in speed is not unreasonable. The lower limit of (lowest speed, highest
volume) of this level of service has been associated with service volumes used in the design of
rural highways.
Level of Service C: Still in the zone of stable flow, but speeds and maneuverability are more
closely controlled by higher volumes. Most of the drivers restricted in their freedom to select
their own speed, lane changing or overtaking maneuvers. A relatively satisfactory operating
speed is still obtained, with service volumes perhaps suitable for urban design practice.
Level of Service D: Approaches unstable flow, with tolerable operating speed being maintained
though considerably affected by changes in operating conditions. Fluctuation in volume and
temporary restrictions to flow may cause substantial drops in operating speeds. Drivers have
little freedom to maneuver; comfort and convenience are low, but conditions can be tolerated for
short periods of time.
Level of Service E: Cannot be described by speed alone, but represents operations at even lower
operating speeds than level D, with volumes at or near the capacity. At capacity, speeds are
typically but not always in the neighborhood of 50 K.P.H. Flow is unstable, and there may be
stoppages of momentary duration.
Level of Service F: Forced flow operations at low speeds, where volumes are below capacity.
Conditions result from queues of vehicles backing up from a restriction downstream. The section
under study will be serving as a storage area during parts oral of the peak hour. Speeds are
reduced substantially and stoppages may occur for short or long periods of time, because of
downstream congestion. In the extreme, both speed and volume can drop to zero.
The factors which affects, the capacity and level of service can be considered under the
following two main categories:
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Roadway Factors:
(A) Roadway factors pertain to restrictive physical features of a road such as lane
width, lateral clearance, shoulders, auxiliary lanes, surface conditions,
alignment and grades.
Traffic Factors:
(B) Traffic factors that affect capacity are the composition of different types of
vehicles in the traffic stream, lane distribution, variations in traffic flow and
traffic interruption.
The most common form of analysis is operational analysis. In this form of analysis, all traffic,
roadway,and control conditions are defined for an existing or projectedhighway section, and the
expected level of serviceand operating parameters are determined. The basic approach is to
convert the existing orforecast demand volumes to an equivalent flow rateunder ideal conditions:
𝑉𝑉
𝑣𝑣𝑝𝑝 =
𝑃𝑃𝑃𝑃𝑃𝑃 ∗ 𝑁𝑁 ∗ 𝑓𝑓𝐻𝐻𝐻𝐻 ∗ 𝑓𝑓𝑓𝑓
Where,
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Traffic Study Report for (Peshawar-Torkham Section) of
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The principal adjustment to demand volume is the heavy-vehicle factor, which adjusts for the
presence of heavy vehicles in the traffic stream.By definition, the heavy-vehicle adjustment
factor, fHV, converts veh/h to pc/h when divided into the flow rate in veh/h. The heavy-vehicle
adjustment factor is based upon theconcept of passenger-car equivalents. A passenger-
carequivalent is the number of passenger cars displaced by one truck, bus, or RV in a given
traffic stream under prevailing conditions. Given that two categories of heavy vehicle are used,
two passenger car equivalent values are defined:
ET = passenger car equivalent for trucks and buses in the traffic stream under prevailing
conditions
ER = passenger car equivalent for RV’s in the traffic stream under prevailing conditions
1
𝑓𝑓𝐻𝐻𝐻𝐻 =
1 + 𝑃𝑃𝑇𝑇 (𝐸𝐸𝑇𝑇 − 1) + 𝑃𝑃𝑅𝑅 (𝐸𝐸𝑅𝑅 − 1)
The base procedures for freeways and multilane highways assume a driver population of
commuters or drivers familiar with the roadway and its characteristics. On some recreational
routes, the majority of drivers may not be familiar with the route. This can have a significant
impact on operations. In general, the factor ranges between values of 1.00 (for commuter traffic
streams) to 0.85 as a lower limit for other driver populations. Unless specific evidence for a
lower value is available, a value of 1.00 is generally used in analysis. Where a future situation is
being analyzed, and recreational users dominate the driver population, a value of 0.85 is
suggested as it represents a “worst-case” scenario.
Where,
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Abase free-flow speed of 60 mi/h may be used for rural and suburban multilane highways, if no
field data is available. It may also be estimated using the posted speed limit. The base free-flow
speed is approximately 7 mi/h higher than the posted speed limit, for speed limits of 40 and 45
mi/h. For speed limits of 50 and 55 mi/h, the base free-flow speed is approximately 5 mi/h higher
than the limit.
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The results are used to enter the standard speed-flow curves of figure 6(multilane highways).
Using the appropriate free-flow speed, the curves may be entered on the x-axis with the demand
flow rate, vpto determine the level of service and the expected average speed.
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Traffic Study Report for (Peshawar-Torkham Section) of
Preliminary Design of Peshawar Kabul Motorway Project
Environment is a matter of serious concern all over the globe. It has been estimated that transport
is the leading contributor of air pollutants. It is therefore important that the transport projects are
devised in such a way that they have minimum adverse on environment.
Inspite of the recently well directed initiatives of the Government of Pakistan, the state of
environment in most of the urban centers of Pakistan has been dismal. The pollution levels have
been much higher than the international/ national standards. Most of these pollutants have been
contributed by the vehicular mobility. Table 21 below shows the results of survey carried out by
Pak EPI in 2010 for determination of suspended particulate levels at selected locations in various
cities of Pakistan:
1. Islamabad 73.0
2. Lahore 121.8
3. Karachi 53.2
4. Peshawar 70.2
5. Quetta 47.1
Similar results can be drawn for almost all other pollution indicators such as NOx, SOx, Hydro
Carbons, radiation levels etc, from the annual data of 2010 obtained through mobile pollution
estimation units of (Central Laboratory for Environmental Analysis and Networking. (CLEAN)
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Traffic Study Report for (Peshawar-Torkham Section) of
Preliminary Design of Peshawar Kabul Motorway Project
Ministry of Environment, prepared national environment quality Standards for motor vehicle
exhausts and noise. These standards were incorporated in Pakistan Environment protection Act
1997. These are presented in table 22 below:
The proposed Peshawar – Torkham Motorway will be a high class road facility having multiple
positive impacts on environment of the area. Firstly, it will bypass various towns and thus will
help in reducing congestion by diverting external traffic which in turn will be helpful in reducing
concentrations of pollutants within the project area. Secondly, being an expressway facility, it
will reduce travel time.
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Traffic Study Report for (Peshawar-Torkham Section) of
Preliminary Design of Peshawar Kabul Motorway Project
ANNEXURES
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Traffic Study Report for (Peshawar-Torkham Section) of
Preliminary Design of Peshawar Kabul Motorway Project
Articulated
3. Bus 8. Truck (4-Axle) 3. Employers Business
4. Mini Truck 9. Truck (5-Axle) 4. Shopping
5. Tuck (2-Axles) 10. Truck (6-Axle) 5. Education
6. Personal Business
7. Social/Recreation
Origin Destination Vehicle Type
Vehicle No. of Origin Destination 6 to 10
Zone Zone
Type Occupants Name Purpose Name Purpose Doods
Code Code
Transported
1 2 3 4 5 6 7 8 9
Traffic Study Report for (Peshawar-Torkham Section) of
Preliminary Design of Peshawar Kabul Motorway Project
Hourly Traffic Count Survey Form For Peshawar Torkham Motorway Project
Station Name: Bighyari Post (P-K) Surveyed By: Raza Khan
Date: 23-04-2017 Day: Sunday
Time: From: 0800 hrs To: 0800 hrs Weather: Sunny
Hourly Traffic Count Survey Form For Peshawar Torkham Motorway Project
Station Name: Bighyari Post (K-P) Surveyed By: Mujahid Ali
Date: 23-04-2017 Day: Sunday
Time: From: 0800 hrs To: 0800 hrs Weather: Sunny
Hourly Traffic Count Survey Form For Peshawar Torkham Motorway Project
Station Name: Bighyari Post (P-K) Surveyed By: Raza Khan
Date: 24-04-2017 Day: Monday
Time: From: 0800 hrs To: 0800 hrs Weather: Sunny
Hourly Traffic Count Survey Form For Peshawar Torkham Motorway Project
Station Name: Bighyari Post (K-P) Surveyed By: Mujahid Ali
Date: 24-04-2017 Day: Monday
Time: From: 0800 hrs To: 0800 hrs Weather: Sunny
Hourly Traffic Count Survey Form For Peshawar Torkham Motorway Project
Station Name: Bighyari Post (P-K) Surveyed By: Raza Khan
Date: 25-04-2017 Day: Tuesday
Time: From: 0800 hrs To: 0800 hrs Weather: Sunny
Hourly Traffic Count Survey Form For Peshawar Torkham Motorway Project
Station Name: Bighyari Post (K-P) Surveyed By: Mujahid Ali
Date: 25-04-2017 Day: Tuesday
Time: From: 0800 hrs To: 0800 hrs Weather: Sunny
Zone 4 50 44 40 50 20 27 20 17 268
Zone 5 63 27 47 47 70 50 40 24 368
Zone 6 50 47 40 34 20 30 37 24 282
Zone 7 47 34 30 50 40 44 0 20 265
Zone 8 24 0 27 20 24 14 7 0 116
Total 387 223 361 312 261 257 174 130 2105
Traffic Study Report for (Peshawar-Torkham Section) of
Preliminary Design of Peshawar Kabul Motorway Project
Zone 4 0 0 0 0 0 2 2 0 4
Zone 5 4 0 4 0 0 0 0 0 8
Zone 6 2 0 2 0 0 0 0 0 4
Zone 7 2 0 2 0 0 0 0 0 4
Zone 8 4 0 2 0 0 2 0 0 8
Total 21 2 22 2 0 10 4 0 61
Traffic Study Report for (Peshawar-Torkham Section) of
Preliminary Design of Peshawar Kabul Motorway Project
Zone 4 3 0 0 0 0 0 0 0 3
Zone 5 1 0 2 0 0 0 0 0 3
Zone 6 2 0 2 0 0 0 0 0 4
Zone 7 2 0 3 0 0 2 0 0 7
Zone 8 1 0 2 0 0 3 0 0 6
Total 24 0 20 4 2 10 0 0 60
Traffic Study Report for (Peshawar-Torkham Section) of
Preliminary Design of Peshawar Kabul Motorway Project
Zone 4 0 0 2 0 0 0 0 0 2
Zone 5 1 0 2 0 0 0 0 0 3
Zone 6 1 0 1 0 0 0 0 0 2
Zone 7 2 0 2 0 0 0 0 0 4
Zone 8 1 0 1 0 0 0 0 0 2
Total 25 2 24 2 1 2 2 1 34
Traffic Study Report for (Peshawar-Torkham Section) of
Preliminary Design of Peshawar Kabul Motorway Project
Zone 4 11 1 5 2 1 2 0 0 22
Zone 5 10 0 7 0 0 0 0 0 17
Zone 6 9 0 8 0 0 0 0 0 17
Zone 7 5 0 6 0 0 0 0 0 11
Zone 8 2 0 2 0 0 0 0 0 4
Total 89 7 85 6 8 9 5 3 212
Traffic Study Report for (Peshawar-Torkham Section) of
Preliminary Design of Peshawar Kabul Motorway Project