Abstract
With the advancement of urbanization and the rapid development of the economy, the number of motor vehicles has also increased sharply, which has led to the increasingly heavy traffic congestion problem, especially in the international metropolis like Beijing. It is more serious, bringing economic loss and seriously affecting its further development. Therefore, it is of great importance to solve the problem in Beijing. In response to the above issue, despite the introduction and implementation of a series of measures in Beijing, it is still unable to properly solve the traffic congestion problem. Today, traffic congestion in Beijing still exists. This paper will mainly start from the causes of traffic congestion, and analyze the problems and phenomena based on the random effects model to obtain the reasons. According to the goal of relieving the traffic congestion problem, we will use the traffic supply and demand theory combined with the actual traffic situation, establish the traffic light model, the travel optimization model and the automobile demand curve model. With the hypothesis, simulation and analysis, we drew the corresponding conclusions. At the same time, the corresponding policy recommendations were put forward to relieve the traffic congestion problem in Beijing.
Highlights
According to the goal of relieving the traffic congestion problem, we will use the traffic supply and demand theory combined with the actual traffic situation, establish the traffic light model, the travel optimization model and the automobile demand curve model
The problem of traffic congestion is an inevitable stage in the process of social development and urban construction
There are many potential safety hazards in large-scale traffic jams, which may lead to more serious traffic accidents
Summary
Applied Science and Innovative Research ISSN 2474-4972 (Print) ISSN 2474-4980 (Online). The Research on Traffic Congestion Problem in Beijing Based on Random Effect Model. Zhipeng Zhang1 & Chujun Zhao Beijing Institute Of Graphic Comminication, Beijing, China. Received: September 17, 2021 Accepted: September 29, 2021 Online Published: October 18, 2021 doi:10.22158/asir.v5n3p1
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