Leading and Decision-Making Method for Traffic Jam Based on Equilibrium Theory
Qiyuan Peng, Ren Qi-liang, Xiao-song Xie, Shuqing Li, Yong Zhou
Abstract
Qiyuan Peng, Ren Qi-liang, Xiao-song Xie, Shuqing Li, Yong Zhou
Abstract
Traffic jam increases the traveling time, the running cost and the traffic accidents and deteriorates the environment, which seriously restricts the development of the social economy. This paper aims to analyze the spatiotemporal distribution characteristics of the traffic flow, to construct the spatiotemporal equilibrium model for leading the vehicles in the road network around, and probe into the decision-making method and decision-making frame that leading traffic jam. The model was input into the traffic simulation software—VISSIM to lead the traffic flow around one road when traffic jam happens. The result shows that the vehicles can select a more reasonable route so that the average traveling time decreases greatly, the traffic crowd degree of the road network is eased, and the traffic efficiency is enhanced evidently.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Traffic jam increases the traveling time, the running cost and the traffic accidents and deteriorates the environment, which seriously restricts the development of the social economy. This paper aims to analyze the spatiotemporal distribution characteristics of the traffic flow, to construct the spatiotemporal equilibrium model for leading the vehicles in the road network around, and probe into the decision-making method and decision-making frame that leading traffic jam. The model was input into the traffic simulation software—VISSIM to lead the traffic flow around one road when traffic jam happens. The result shows that the vehicles can select a more reasonable route so that the average traveling time decreases greatly, the traffic crowd degree of the road network is eased, and the traffic efficiency is enhanced evidently.
Key concepts: VisSim, Traffic conflict, Traffic congestion reconstruction with Kerner's three-phase theory, Computer science, Traffic flow (computer networking), Traffic network, Frame (networking), Traffic generation model