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Road network dynamic traffic flow prediction method based on Simulink simulation

A forecasting method and technology of traffic flow, applied in traffic flow detection, road vehicle traffic control system, traffic control system, etc., can solve the problem that the large-scale urban road network traffic flow simulation and limited cellular automata simulation speed cannot be realized And other issues

Active Publication Date: 2017-06-13
河南省城乡规划设计研究总院股份有限公司
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Problems solved by technology

Cellular automata traffic modeling is currently the most popular traffic simulation method, but limited by the simulation speed of cellular automata, the existing cellular automata models can only simulate a single road section or intersection, and cannot realize large-scale urban traffic modeling. Network Traffic Flow Simulation

Method used

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  • Road network dynamic traffic flow prediction method based on Simulink simulation
  • Road network dynamic traffic flow prediction method based on Simulink simulation
  • Road network dynamic traffic flow prediction method based on Simulink simulation

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Embodiment Construction

[0094] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0095] Such as figure 1 As shown, a road network dynamic traffic flow prediction method based on Simulink simulation in an embodiment of the present invention includes the following steps:

[0096] Step 10) Obtain basic traffic information of the road network to be predicted, where the basic traffic information includes road network topology information and road network traffic operation information.

[0097] In step 10), obtaining road network topology information includes:

[0098] Step 1011) Number the intersections and roads in the road network to be predicted in sequence; each road is divided into two parts: road section and entrance area. As an example, the city road network to be predicted can be selected on the network map.

[0099] Step 1012) Obtain the number of lanes M of each road segment in the road network to be predicted J , The numbe...

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Abstract

The invention discloses a road network dynamic traffic flow prediction method based on Simulink simulation. The method comprises the following steps that 10, basic traffic information of a to-be-predicted road network is acquired, wherein the basic traffic information comprises road network topological structure information and road network traffic operation information; 20, a road network traffic simulation system based on Simulink is created according to the acquired basic traffic information of the to-be-predicted road network; 30, dynamic road network traffic flow prediction is conducted according to the created road network traffic simulation system, and predicted traffic information is extracted. According to the prediction method, the dynamic traffic flow information operating on a large-scale city road network can be precisely predicted in real time.

Description

Technical field [0001] The invention relates to a road network dynamic traffic flow prediction method, in particular to a road network dynamic traffic flow prediction method based on Simulink simulation. Background technique [0002] At present, my country's urban traffic congestion has risen from a traffic problem to a social problem of public concern, and it is increasingly affecting economic and social development and improving people's livelihood. The prevention, control and management of urban traffic congestion rely heavily on accurate and real-time prediction of the dynamic traffic flow of the road network. However, due to the complex structure of my country's urban road network, diverse vehicle driving behaviors, and time-varying traffic demand, dynamic prediction of dynamic traffic flow is a very challenging technical problem. Based on traffic simulation to reproduce the microscopic behavior of vehicles on complex roads, and then derive the macroscopic operation mechani...

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Application Information

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IPC IPC(8): G08G1/01G06F17/50
CPCG06F30/20G08G1/0104
Inventor 刘艳忠蒋琳江航王劲军杨德民顾超然饶明雷张东东
Owner 河南省城乡规划设计研究总院股份有限公司
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