CN109509350B - Intersection operation efficiency calculation method based on directed binary weight network - Google Patents
Intersection operation efficiency calculation method based on directed binary weight network Download PDFInfo
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- CN109509350B CN109509350B CN201811582116.5A CN201811582116A CN109509350B CN 109509350 B CN109509350 B CN 109509350B CN 201811582116 A CN201811582116 A CN 201811582116A CN 109509350 B CN109509350 B CN 109509350B
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- G—PHYSICS
- G08—SIGNALLING
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- G08G1/00—Traffic control systems for road vehicles
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- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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- G—PHYSICS
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- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
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Abstract
A method for calculating the running efficiency of an intersection based on a directed binary weight network comprises the following steps: (1) establishing an intersection directed binary network by taking the road sections as nodes and the intersections connecting the road sections as line sections; (2) acquiring the weight of each line segment in the intersection directed binary network according to the acquired traffic flow data; (3) and calculating the efficiency of the intersection directed binary weight network based on the construction of the directed binary weight network, and obtaining the operation efficiency of the intersection. According to the invention, the operation efficiency of the intersection is obtained through the construction of the directed binary network of the intersection and the effective estimation of the weight of the line segments in the network, and the result can be applied to a traffic guidance and control system.
Description
Technical Field
The invention belongs to the field of traffic control, and relates to an intersection operation efficiency calculation method based on a directed binary weight network.
Background
The urban road network state is the basis for traffic control and traffic inducement. The problem of traffic congestion seriously affects the sustainable development of cities. The essential reason for the traffic jam is that the traffic supply capacity is not matched with the traffic demand, so that the phenomena of local traffic flow concentration, traffic space-time resource waste and the like are caused. The intersection is a node of an urban road network and is also a key point for vehicle collection, steering and evacuation. The effective calculation of the intersection running efficiency is a precondition for making reasonable and effective traffic control and guidance decisions, is an important way for improving the road passing efficiency, and is also a key for relieving traffic jam.
At present, the existing intersection operation efficiency calculation methods mainly include intersection operation efficiency calculation methods based on indexes such as delay time, vehicle passing, passing time and evaluation queuing. However, these methods have certain limitations: (1) the intersection running efficiency calculation method is mainly based on VISSIM simulation software and cannot reflect actual traffic conditions; (2) the calculation of most indexes does not take into account the topology of the road network.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides the intersection running efficiency calculation method based on the directed binary weight network.
The technical scheme adopted by the invention is as follows:
a method for calculating the running efficiency of an intersection based on a directed binary weight network comprises the following steps:
(1) establishing an intersection directed binary network by taking the road sections as nodes and the intersections connecting the road sections as line sections;
(2) acquiring the weight of each line segment in the intersection directed binary network according to the acquired traffic flow data;
(3) and calculating the efficiency of the intersection directed binary weight network based on the construction of the directed binary weight network, and obtaining the operation efficiency of the intersection.
Further, the step (2) of obtaining the weight of each line segment in the intersection directed binary network comprises the following steps:
the section of road reaching the intersection is MiThe road section leaving the intersection is Nj(ii) a Connecting entry section MiExit road section NjSegment weight w ofij(t) is:
wherein S isij(t) denotes an entry route section M at time tiTo an exit stretch NjTraffic state of (1), mainly at the entrance section MiFlow data or saturation data for a certain flow direction; gamma rayij(t) is a traffic flow State SijMean value of (t), σij(t) is a traffic flow State Sij(t) mean square error.
Further, a traffic flow state Sij(t) is an entry road section MiFlow data or saturation data of a certain flow direction
Further, in the step (3), the weight of each line segment is used as the operation efficiency between each node pair, and the average value of the operation efficiency between all the node pairs of the directed binary weight network is used for representing the operation efficiency of the intersection.
The invention has the beneficial effects that: the running efficiency of the intersection is obtained through the construction of the directed binary network of the intersection and the effective estimation of the weight of the line segments in the network, and the result can be applied to a traffic guidance and control system.
Drawings
Fig. 1 is a schematic structural diagram of a directed binary network at a crossroad according to the present invention.
Fig. 2 is a schematic structural diagram of an exemplary intersection model of the present invention.
Fig. 3 is a schematic structural diagram of the intersection directed binary network in fig. 2.
Figures 4-10 are the intersection operating efficiencies obtained in the actual road segment.
Detailed Description
The present invention is further illustrated by the following examples, which are not intended to limit the invention to these embodiments. It will be appreciated by those skilled in the art that the present invention encompasses all alternatives, modifications and equivalents as may be included within the scope of the claims.
The embodiment provides an intersection operation efficiency calculation method based on a directed binary weight network, which comprises the following steps:
(1) step for establishing intersection directed binary network
Assume that the section of road to the intersection is MiM, N for the road section leaving the intersectionjThe number is n, the road sections are used as nodes, intersections connecting the entering road sections and the exiting road sections are used as line sections, a directed binary network of the intersections is constructed, as shown in figure 1, and the turning flow direction is less in the actual intersection, so that the directed binary network constructed by the method does not consider the turning flow direction;
specifically, in this embodiment, for a typical intersection, an entrance and an exit road section are set, as specifically shown in fig. 2. The directed bipartite network corresponding to the intersection is shown in fig. 3. The number of inlet segments is 4 and the number of outlet segments is 4.
(2) Step for obtaining directed binary network weight
For road section M arriving at intersectioniSetting a connection entry section MiExit road section NjSegment weight w ofij(t) is:
wherein S isij(t) denotes an entry route section M at time tiTo an exit stretch NjTraffic state of (1), mainly at the entrance section MiTraffic data or saturation data for a certain flow direction. Gamma rayij(t) is a traffic flow State SijMean value of (t), σij(t) is a traffic flow State Sij(t) mean square error.
The traffic flow state change is nonlinear, so that the traffic flow passes
And mapping the weight value to 0-1, wherein the larger the traffic flow state is, the lower the intersection running efficiency is, and the weight value belongs to 0-1, so as to obtain the weight calculation formula.
Specifically, in the present embodiment, the connection entrance section M1And exit road section N3Segment weight w of13(t) is:
wherein S is13(t) indicates a certain 15-minute entry route section M1To an exit stretch N1The traffic state of (i.e. the entry section M)1Straight-line flow data or saturation data. Gamma ray13(t) traffic flow status S of each time period all day of the day13Mean value of (t), σ13(t) is a traffic flow State S13(t) mean square error.
(3) Step of evaluating intersection state based on directed binary weight network
And (3) counting the weight of each line segment of the directed binary weight network, wherein the larger the traffic flow state is, the lower the running efficiency of the intersection is, so that the weight of each line segment is taken as the running efficiency between each node pair, and finally, the average value of the running efficiency between all the node pairs of the directed binary weight network is used for representing the running efficiency of the intersection.
For a typical intersection in this embodiment, the operation efficiency of the intersection at time t is as follows:
running straight at No. 1 No. 13 of No. 6 month in 2017 at the junction (818) of the liberation road and the autumn wave road in Hangzhou city of Zhejiang: 00-14: the time interval 00 is taken as an example, data such as the flow rate, the saturation, the corresponding mean value, the mean square error, the weight and the like are respectively given, and specific results are respectively shown in tables 1 and 2.
TABLE 1
TABLE 2
| Time period | Degree of saturation | Mean value | Mean square error | Weight of |
| 13：00-13：15 | 68 | 45.0 | 30.15 | 0.318 |
| 13：15-13：30 | 84 | 45.0 | 30.15 | 0.218 |
| 13：30-13：45 | 108 | 45.0 | 30.15 | 0.109 |
| 13：45-14：00 | 85 | 45.0 | 30.15 | 0.223 |
The obtained intersection running efficiency curve graph is shown in fig. 4-10, the intersection is started on the whole, and the intersection running efficiency lowest time period is mainly concentrated on 8: 00-18: 00, the time interval is mainly a commuting and traveling time interval of citizens, so the operation efficiency is low. And the change of the operating efficiency of the working days is similar, and the change of the operating efficiency of the weekends is similar. Therefore, the road condition needs to be 8: 00-18: and traffic guidance is carried out at the time of 00 hours, so that traffic jam is avoided.
Claims (3)
1. A method for calculating the running efficiency of an intersection based on a directed binary weight network comprises the following steps:
(1) establishing an intersection directed binary network by taking the road sections as nodes and the intersections connecting the road sections as line sections;
(2) according to the collected traffic flow data, the weights of all line segments in the intersection directed binary network are obtained, and the weights of all line segments in the intersection directed binary network are obtained by the following steps:
the section of road reaching the intersection is MiThe road section leaving the intersection is Nj(ii) a Connecting entry section MiExit road section NjSegment weight w ofij(t) is:
wherein S isij(t) denotes an entry route section M at time tiTo an exit stretch NjTraffic flow state of gammaij(t) is a traffic flow State SijMean value of (t), σij(t) is in the form of traffic flowState Sij(t) mean square error;
(3) and calculating the efficiency of the intersection directed binary weight network based on the construction of the directed binary weight network, and obtaining the operation efficiency of the intersection.
2. The intersection operation efficiency calculation method based on the directed binary weight network according to claim 1, characterized in that: the traffic flow state Sij(t) is an entry road section MiTraffic data or saturation data for a certain flow direction.
3. The intersection operation efficiency calculation method based on the directed binary weight network according to claim 1 or 2, characterized in that: and (3) taking the weight of each line segment as the operation efficiency between each node pair, and representing the operation efficiency of the intersection by using the average value of the operation efficiency between all the node pairs of the directed binary weight network.
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Address after: 310012 1st floor, building 1, 223 Yile Road, Hangzhou City, Zhejiang Province Patentee after: Yinjiang Technology Co.,Ltd. Address before: 310012 1st floor, building 1, 223 Yile Road, Hangzhou City, Zhejiang Province Patentee before: ENJOYOR Co.,Ltd. |