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Regional flow distribution prediction method in variable traffic control scheme based on WMGIRL algorithm

A traffic control and flow distribution technology, which is applied in traffic flow detection, road vehicle traffic control system, traffic control system, etc., can solve the problem that urban roads cannot meet the traffic demand, and can solve the problem that the environment model is too large and reduce the workload. , the effect of improving the accuracy

Active Publication Date: 2021-06-29
CHENGDU UNIV OF INFORMATION TECH +1
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  • Application Information

AI Technical Summary

Problems solved by technology

[0002] With the continuous improvement of my country's comprehensive strength, many cities have hosted large-scale events one after another, and urban roads cannot meet the rapidly increasing traffic demand in a short period of time

Method used

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  • Regional flow distribution prediction method in variable traffic control scheme based on WMGIRL algorithm
  • Regional flow distribution prediction method in variable traffic control scheme based on WMGIRL algorithm
  • Regional flow distribution prediction method in variable traffic control scheme based on WMGIRL algorithm

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Experimental program
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Effect test

Embodiment 1

[0106] Such as figure 1 As shown, the regional flow distribution prediction method in the variable traffic control scheme based on the WMGIRL algorithm includes the following steps:

[0107] S1. Carry out urban road network modeling in the area to be predicted, and collect driving trajectory data in the area;

[0108] S2. Based on the urban road network and driving trajectory data corresponding to the area to be predicted, the flow characteristics in the area to be predicted are extracted through the maximum entropy inverse reinforcement learning method based on multiple weights;

[0109] S3. Based on the extracted flow characteristics and the urban road network under the current traffic control scheme, process them through the forward reinforcement learning method to obtain the flow distribution prediction results of the area to be predicted.

[0110] In the above step S1, when modeling the urban road network, it actually belongs to the reasonable abstraction of all the thin...

Embodiment 2

[0218] In this embodiment, a flow simulation platform under the variable traffic control scheme built based on the above flow distribution prediction method is provided,

[0219] The platform can predict the regional flow distribution under different traffic control schemes based on the real urban road network and the data in the buckle. The framework of the flow simulation platform based on the variable traffic control scheme is as follows: figure 2 As shown, the traffic simulation platform has three sub-modules, including road network module, traffic module and algorithm module. Among them, the road network module models the urban road network within the specified range of the specified city; the flow module uses the bayonet data of a certain period of time within the specified range of the city to mine the traffic trajectory data; the algorithm module is divided into the flow feature extraction module and the flow The simulation algorithm module, in which the traffic featu...

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Abstract

The invention discloses a method for predicting regional traffic flow distribution under a variable traffic control scheme based on a weighted multi-agent grouping reverse reinforcement learning algorithm (WMGIRL), and the method comprises the steps: S1, carrying out the urban road network modeling of a to-be-predicted region, and collecting the driving track data in the region; S2, based on the urban road network and the driving track data corresponding to the to-be-predicted region, extracting flow characteristics in the to-be-predicted region through adoption of a weighted maximum entropy inverse reinforcement learning method; and S3, based on the extracted flow characteristics and the urban road network under the current traffic control scheme, processing the flow characteristics by adopting a forward reinforcement learning method based on Multiagent Group to obtain a traffic flow distribution prediction result of the to-be-predicted region.

Description

technical field [0001] The invention belongs to the technical field of urban traffic flow forecasting, and in particular relates to a method for predicting regional traffic distribution in a variable traffic control scheme based on WMGIRL (intra-group evolution-based multi-agent reverse reinforcement learning) algorithm. Background technique [0002] With the continuous improvement of my country's comprehensive strength, many cities have hosted large-scale events one after another, and urban roads cannot meet the rapidly increasing traffic demand in a short period of time. Therefore, the traffic police will use traffic control schemes to induce traffic to relieve road pressure. In recent years, due to the deepening of the research on urban intelligent transportation, the research on traffic guidance technology and traffic control traffic control has become the core of urban intelligent transportation. Research methods. At present, the core technology of traffic guidance tech...

Claims

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Application Information

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IPC IPC(8): G08G1/01G08G1/065G06Q10/04G06Q50/30
CPCG08G1/0125G08G1/0145G08G1/065G06Q10/04G06Q50/40
Inventor 郑皎凌张中雷李军吴昊昇乔少杰刘双侨
Owner CHENGDU UNIV OF INFORMATION TECH
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