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Optimal toll pricing method to mitigate traffic network risk

A traffic network and pricing technology, applied in the direction of instruments, payment architecture, data processing applications, etc., can solve the problems of not considering the impact of safety, reduction, adverse accidents, etc.

Active Publication Date: 2019-02-12
SOUTHEAST UNIV
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AI Technical Summary

Problems solved by technology

They concluded that traditional efficiency-oriented congestion pricing schemes, which do not consider the impact on safety, are not conducive to accident reduction

Method used

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  • Optimal toll pricing method to mitigate traffic network risk
  • Optimal toll pricing method to mitigate traffic network risk
  • Optimal toll pricing method to mitigate traffic network risk

Examples

Experimental program
Comparison scheme
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Embodiment Construction

[0053] widely used in traffic research as Figure 5 The Nguyen-Dupuis network shown to test various methods. Table 1 lists road parameters such as free flow travel time and road capacity in this network.

[0054] Table 1 Road parameters of Nguyen-Dupuis test network

[0055]

[0056]

[0057] In the Nguyen-Dupuis network, there are two origins 1 and 4, and two destinations 2 and 3. Assume that during the peak time, the trip generation of departure points 1 and 4 are 1500pcu / h and 1000pcu / h respectively. That is to say, O 1 =1500pcu / h, O 4 =1000pcu / h. Candidate links that require toll pricing are 3, 4, 5, 9, 13, 16, 19. The problem is to determine the optimal segment pricing model in terms of safety performance. Due to the risk of local optimization in the random feasible direction method, 10 starting points randomly distributed will be generated in the feasible region. The safety performance of these starting points will be compared with each other to find the be...

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Abstract

Nowadays, the research on congestion pricing and exhaust pollution pricing is very extensive, but the safety pricing to reduce the risk of traffic network is rarely concerned. Therefore, the inventionestablishes a novel two-layer model system. In the upper layer model, the manager minimizes the safety function of the traffic network and designs the charging mode based on it. In the lower model, the behavioral response of travelers to the upper-level pricing will be reflected by a four-stage sequential model with feedback mechanism. In order to solve the above-mentioned two-layer model, the invention is based on the Monte Carlo simulation, a feasible direction method, an iterative weighting method (MSA), a Frank-Wolfe algorithm and a Dijkstra algorithm, and a stochastic feasible directionmethod is designed. Finally, the invention uses a Nguyen-Dupuis network to verify, and the results show that the proposed method and algorithm are feasible and effective. The method of the present invention can be a valuable tool for policymakers who regard traffic safety as a primary policy objective and an evaluation indicator.

Description

Technical field: [0001] The invention establishes an optimal toll pricing method based on traffic network security performance, and belongs to the technical field of traffic planning and management. Background technique: [0002] Safety performance is still a rather vague concept in traffic planning and management, and there are still a series of problems in its definition, measurement, and especially its practical application. Transportation network managers, represented by the government, usually optimize the performance of the transportation system through policy tools such as network design and toll pricing. At present, the issue of charging for congestion and emissions has been extensively studied, namely congestion charging and exhaust pollution charging. However, there are relatively few studies on optimal toll pricing for mitigating transportation network risks. [0003] Generally speaking, there are two kinds of risks in the transportation network: freight and pas...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q20/14G06Q10/04
CPCG06Q10/047G06Q20/145
Inventor 林宏志钱诗懿
Owner SOUTHEAST UNIV
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