Curbside parking in a residential area may be induced by the presence of a public transport stop. Travelers may park their car near the stop and continue their trip to the city center by other means. This is called informal park-and-ride. The ...

Activity-based models predict locations at TAZ (travel analysis zone) level. Recent research questions about carpooling, ride sharing, vehicle sharing, multi-modality, MaaS, . . . require space resolution at street address level. Pitfalls related ...

Matching potential carpool partners in large companies is one of the critical tools to establish carpooling. The main practical problem of every matching framework is that it only starts working well when a sufficiently large set of candidates is ...

The decision to own a car usually results from a mix of changes in socio-economics, residential location, demographics or preferences of the individuals. These changes do not directly influence car ownership but are lagged in time or sometimes ...

Prediction of realistic routes is essential in travel behavior research that evaluates the effects of infrastructure design alternatives. Most proposed route choice models are based on additive link attributes. This paper investigates ...

• Recorded traveler paths are decomposed into the minimum number of least cost subpaths.

Electrical vehicles are considered sustainable transport alternatives as compared to conventional combustion engine vehicles due to their lower energy consumption and less pollutants production. The increased penetration of electric ...

• Required energy to charge EVs depending upon travel demand is calculated.
• A ...

Microsimulation of travel flows aims to assess the effect of decisions taken by travelers based on personal preferences, time-of-day, properties of the infrastructure and expected or perceived travel flows. Route choice represents a particular ...

Everyday route choices made by bicyclists are known to be more difficult to explain than vehicle routes, yet prediction of these choices is essential for guiding infrastructural investment in safe cycling.

In this paper we study how the concept of ...

This paper describes the design of SimPark, an agent-based micro-simulator with state-of-the-art parking components. The goal is to allow the simulation of parking policies and strategies while capturing their effects on traffic flow and personal ...

Estimation of spatio-temporal travel demand requires accurate activity schedules as an input along with a mechanism to adapt the schedules to changing travel options. Individuals are assumed to own a duty list of activities to be accomplished ...

When simulating individuals’ daily plan, lots of unexpected events need to be considered, like traffic jam and weather changes. Therefore, there will be a mismatch between the original plan and the executed one. Faced with this situation, ...

The use of modeling and simulation aids in deriving many decisions related to transportation planning and traffic operations. Representing the real systems via simulation allows exploring system behavior in an articulated way, which is often impossible ...

Modeling the interaction between individual agents becomes progressively important in recent research. Carpooling for commuters is a specific transportation problem where cooperation between agents is essential while executing their daily schedule. ...

Carpooling for commuting can save cost and helps in reducing pollution. An automatic Web based Global CarPooling Matching Service (GCPMS) for matching commuting trips has been designed. The service supports carpooling candidates by supplying advice ...

Charging cost of electric vehicles depends on the selection of the charging strategy when operating ina spatio-temporal electricity pricing market. In such scenario, selection of the charging strategy can be critical in order to keep the charging ...

This study aims to validate an activity-based travel demand model, FEATHERS, using smart-card data which is collected in Seoul, South Korea, and to discuss some limits and challenges in the prediction of public traffic demands. To achieve the goal,...

This paper presents two methods to extract trips and stops from GPS traces: the first one focuses on periods of non-movement (stops) and the second one tries to identify the longest periods of movement (trips). In order to assert the quality of ...

Surveying diaries to collect evidence about travel behavior is known to be susceptible to erroneous reporting. Many respondents do not exactly remember details about executed trips and activities. This paper describes a diary collection project ...

In order to commute by carpooling, individuals need to communicate, negotiate and coordinate, and in most cases adapt their daily schedule to enable cooperation. Through negotiation, agents (individuals) can reach complex agreements in an ...