Cause Analysis and Prediction of Urban Congestion Based on Behavioral Traffic
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更新:2021-12-03 10:34:28 浏览:81次
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摘要
It is necessary to study the causes of traffic congestion for more accurate predictions and taking appropriate traffic management measures in advance. In this article, we analyze the causes of traffic congestion and predict congestion by traffic behaviors. The main research process is as follows: Fist, this paper it defines traffic behavior. In combination with existing research, it provides an in-depth analysis of traffic behaviors including the general characteristics of traffic behavior, the development trend of traffic behavior, and research of traffic behavior. that is why we choose road traffic behavior, driver behavior, and slow traffic behavior as our research object. Then, the paper conducts a simulation study on the driver's path selection behavior, driving behavior, and the mutual influence between pedestrians and motor vehicles. We find path selection in the completely random situation and the case of selective preferences can easily cause traffic jams. It is reasonable to ensure 73% transparency of information. In system we simulated, the probability of a pedestrian crossing the road exceeds 4% is enough to paralyze the road system.
KEY WORDS: traffic jam, traffic behavior, cause analysis, path choice, Congestion management
稿件作者
Yongjie Wang
Chang'an University
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