A traffic guidance method based on the distribution difference of traffic distribution
A technology of distribution difference and traffic, which is applied in the field of urban traffic management, can solve the problems of knowledge deviation of road conditions, users cannot have the overall grasp of road condition knowledge, etc., and achieve the effect of increasing stability, optimizing traffic guidance goals, and improving stable operation ability
Active Publication Date: 2017-12-29
TSINGHUA UNIV
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Problems solved by technology
[0007] 2) Limitation of user's knowledge of road conditions: users cannot have an overall grasp of road condition knowledge, mainly because of knowledge limitations on the way of driving, and at the same time, users have individualized historical experience, thus forming a deviation in understanding of road condition knowledge;
Existing traffic guidance systems and technologies generally only provide route planning functions to meet users' specific travel purposes
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[0032] Concrete algorithm realization steps of the present invention are as follows:
[0033] Step 1, according to the actual traffic conditions of urban roads and the congestion situation of each road section, determine the proportional factor of the road resistance function, and establish the form of the road resistance function:
[0034]
[0035] In the formula, v represents the average observed speed of traffic flow, and k1, k2, k3 represent fitting constants. The fitting steps are: for the observed average vehicle speed and transit time, take the average velocity as the independent variable, and the transit time as the dependent variable. Usually, vehicles with the same average velocity will not have the same transit time on the same road segment. So this formula can fit its mean or upper and lower edges.
[0036] Step 2. Randomly generate the road resistance scale factor so that it satisfies the constraint condition as Or use the optimization result of the previous...
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The invention discloses a traffic dredging method formulated based on differences in traffic allocation distribution, which belongs to the technical field of urban traffic management. It is a traffic control method that focuses on non-emergency traffic conditions. This method is based on the actual traffic conditions of urban roads and the congestion of each road section to determine the proportional factor of the road resistance function, establish a road resistance function, and convert the user allocation flow to the road. In the proportional factor of the resistance function, the proportional factor is calculated based on the dynamic system optimal and dynamic user optimal system distribution distribution; the difference between the distribution results is compared, and the smallest difference is obtained through the pairwise ratio; the proportional factor of each road section is calculated Update until the optimization goal is reached or there is no proportional factor for any road section for optimization and adjustment, inducing the flow distribution of users to divert to the optimal situation of the traffic decision maker's system, improving the stable operation ability of the system, and achieving the optimal traffic guidance goal.
Description
[0001] Patent field [0002] The invention belongs to the technical field of urban traffic management, and in particular relates to a traffic dredging method formulated based on differences in traffic distribution distribution. Specifically, focusing on the traffic control method under non-emergency traffic conditions, it is proposed to quantify the flow distribution strategy into the proportional factor of the road resistance function, and calculate the proportional factor based on the dynamic system optimal and dynamic user optimal system distribution distribution. Background technique [0003] In the traffic management system, dynamic traffic allocation (hereinafter referred to as DTA) is its theoretical basis. DTA is an algorithm that allocates traffic demand to road sections according to certain optimization principles. [0004] Optimization principles include: Dynamic User Optimal (DUO) and Dynamic System Optimal (DSO). In 1956, Wardrop proposed two criteria. The first...
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IPC IPC(8): G08G1/00G06Q10/04G06Q50/30
Inventor 胡坚明裴欣张似衡张毅谢旭东李力姚丹亚
Owner TSINGHUA UNIV