期刊
INTERNATIONAL JOURNAL OF TRANSPORTATION SCIENCE AND TECHNOLOGY
卷 11, 期 2, 页码 360-380出版社
KEAI PUBLISHING LTD
DOI: 10.1016/j.ijtst.2021.05.002
关键词
Double lane traffic flow model; Freeway tunnel; Speed limit of freeway tunnel; Travel time; Weighted essentially non -oscillatory; scheme
资金
- National Natural Science Foundation of China [11972341]
- Russian Foundation for Basic Research [18-07-00518]
- fundamental research project of Lomonosov Moscow State University
This paper explores the impact of speed limit in freeway tunnels on car driving behaviors. A double lane traffic model is proposed to investigate the tunnel effect on travel time. The results indicate that while the tunnel significantly affects traffic flow patterns, its impact on travel time is minimal. On/off ramp flows play a crucial role in shaping traffic patterns.
Speed limit of freeway tunnel restricts car driving behaviors. To explore the tunnel effect of travel time, a double lane traffic model is put forward, and a compensative function of mean travel time is simply introduced in this paper. The model describes the net lane-changing rate using the ratio of characteristic lane changing time to traffic relaxation time, assumes that the cars on both lanes of the tunnel have the same equilibrium speed, but the speeds on both lanes of normal section are different. It is assumed that the road length is 100 km, and the tunnel length is 7.5 km except for the case of seeking tunnel length effects. The model is used to build a simulation platform. Numerical results indicated that when the initial road density normalized by jam density is above 0.2, the tunnel causes a congestion region just upstream the tunnel inlet, provides a smooth region just downstream the tunnel outlet, can affect the traffic flow pattern significantly. But the tunnel effect of travel time is small, as the tunnel can merely slightly increase the mean travel time. The on/off ramp flows play a crucial role in the formation of traffic flow pattern.& COPY; 2021 Tongji University and Tongji University Press. Publishing Services by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/ by/4.0/).
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