A traffic congestion charging strategy optimization method based on VISSIM simulation

A technology of traffic congestion and charging strategy, applied in the direction of design optimization/simulation, genetic models, genetic rules, etc., can solve problems such as lack of decision-making basis, achieve the effect of perfecting optimization technology, reducing time costs, and alleviating traffic congestion

Inactive Publication Date: 2018-12-11
BEIHANG UNIV
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Problems solved by technology

At this stage, the formulation of traffic congestion strategies is often based on the experience of managers, lacking scientific decision-making basis

Method used

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  • A traffic congestion charging strategy optimization method based on VISSIM simulation
  • A traffic congestion charging strategy optimization method based on VISSIM simulation
  • A traffic congestion charging strategy optimization method based on VISSIM simulation

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Embodiment Construction

[0013] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0014] Such as figure 1 Shown, the present invention comprises the following steps:

[0015] 1) Use the genetic algorithm to generate an alternative traffic congestion charging strategy, including the congestion charging road section and the congestion charging amount;

[0016] The process of generating alternative congestion charging strategies is as follows:

[0017] There are M road sections in the traffic road network, and each alternative congestion charging strategy can be expressed as a set {Z a |a=1,2,3...M-1,M}, Z a is the traffic congestion charge amount of road section a. Z a ∈[0,m], m is the upper limit of the congestion charging amount. Binary coding is used, the coding precision is set to δ, the coding length is L, the coding length can be determined by the coding precision, the relationship between the two is Binary coded string b for the traff...

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Abstract

The invention discloses a traffic congestion charging strategy optimization method based on VISSIM simulation. The method firstly generates an alternative traffic congestion charging strategy by usinga genetic algorithm, and constructs a topological multi-mode traffic network according to traffic network information, signal light timing information, vehicle information and traffic congestion charging strategy. Then, the traffic flow assignment of the multi-mode traffic network is realized by VISSIM simulation. Finally, the traffic congestion pricing strategy which minimizes the system cost isdetermined by repeated simulation optimization. The optimization method provided by the invention provides the decision basis for the formulation of the traffic congestion charging policy, and effectively alleviates the urban traffic congestion.

Description

technical field [0001] The invention relates to a strategy optimization method for urban traffic demand management, in particular to a strategy optimization method for traffic congestion charging based on VISSIM simulation. Background technique [0002] With the rapid development of the economy, the number of urban motor vehicles has increased rapidly. As of the end of 2015, the number of motor vehicles in the country reached 279 million, and the number of cars in many cities exceeded one million. The popularity of motor vehicles has brought convenience to urban residents, but it has also brought serious traffic congestion problems. In the past few decades, China has tried to take various measures, such as widening roads, laying roads, etc., to solve the problem of urban traffic congestion from the perspective of supply. However, the effect of relieving traffic congestion is not obvious. On the one hand, road construction is difficult to meet the rapid growth of traffic de...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/26G06F17/50G07B15/06G06N3/12
CPCG06F30/20G06N3/126G06Q10/04G06Q50/26G07B15/06Y02T10/40
Inventor 于滨郭震任思佳单文轩
Owner BEIHANG UNIV
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