4.6 Article

Tunnel speed limit effects on traffic flow explored with a three lane model

期刊

MATHEMATICS AND COMPUTERS IN SIMULATION
卷 194, 期 -, 页码 185-197

出版社

ELSEVIER
DOI: 10.1016/j.matcom.2021.11.016

关键词

Local homogeneity; Travel time; Three lane model; Lane-changing; Density threshold of traffic shock formation

资金

  1. National Natural Science Foundation of China [11972341]
  2. fundamental research project of Lomonosov Moscow State University, Russia 'Mathematical models for multi-phase media and wave processes in natural, technical and social systems'

向作者/读者索取更多资源

This paper presents a three lane model to explore the effects of tunnel speed limit on traffic flow numerically. The model assumes that each lane has its own density and speed, and highlights the role of local homogeneity of traffic flow in expressing the lane-changing rate more simply. The simulation results show that a higher tunnel speed limit leads to a larger density threshold of traffic shock formation, but a shorter mean travel time and tunnel mean travel time.
This paper presents a three lane model to explore tunnel speed limit effects on traffic flow numerically. The model assumes traffic flow on each lane has its own density and speed, highlights the role of local homogeneity of traffic flow between adjacent lanes to express the net lane-changing rate more simply in comparison with the existing lane-changing modules. The tunnel speed limit effects involve in the aspects of travel time and density threshold of traffic shock formation due to the tunnel bottleneck. Based on the three lane model, a simulation platform is built that uses a 3rd order Runge-Kutta scheme to handle time derivative term, and a 5th order weighted essentially non-oscillatory scheme to calculate numerical flux. The simulation results show that the higher the tunnel speed limit, the larger the density threshold of traffic shock formation, but the shorter the mean travel time and tunnel mean travel time. (c) 2021 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved.

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