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SSRN

A Dynamic Changing Lane Acceptance Gap Model for Work Zone Traffic

作     者:Li, Qi-Lang Liu, Jun Jiang, Rui Wang, Bing-Hong 

作者机构:School of Mathematics and Physics Anhui Jianzhu University Hefei230601 China MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology Beijing Jiaotong University Beijing100044 China Department of Modern Physics University of Science and Technology of China Hefei230026 China 

出 版 物:《SSRN》 

年 卷 期:2023年

核心收录:

主  题:Vehicles 

摘      要:In this paper, a dynamic lane-changing acceptance gap model for work zone traffic is proposed. One two-lane traffic model with one work zone is divided into three sections: symmetrical zone, conversion zone and work zone. Vehicles are updated according to different changing lane rules for different zones. Based the velocity difference between the vehicle in the current lane and the vehicle behind/ahead the target lane and their own velocities, etc, driver choose to change lanes if necessary. In the conversion zone, the maximum velocity depends on the number of unsuccessful change lanes. Based on the refined $Nagel-Schreckenberg$ ($NaSch$) model, vehicles update their velocities and positions in their respective lanes. Based on simulation results, the system has two states: unsaturated and saturated. One notes that the velocity distribution can be consistent with the actual traffic conditions under unsaturated state, especially the work zone upstream. The maximum capacity of the present model is greater than that of the past model under saturated state. Compared with other models, it is evident that a dynamic lane-changing acceptance gap is more in line with the actual driving situation and plays a role in the optimization of the road in the work zone. © 2023, The Authors. All rights reserved.

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