Car-following model considering the lane-changing prevention effect and its stability analysis

Bingmei Jia, Da Yang, Xiaobo Zhang, Yuezhu Wu and Qian Guo ()
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Bingmei Jia: School of Transportation and Logistics, Southwest Jiaotong University
Da Yang: School of Transportation and Logistics, Southwest Jiaotong University
Xiaobo Zhang: Institute of Artificial Intelligence, School of Information Science and Technology, Southwest Jiaotong University
Yuezhu Wu: School of Transportation and Logistics, Southwest Jiaotong University
Qian Guo: School of Transportation and Logistics, Southwest Jiaotong University

The European Physical Journal B: Condensed Matter and Complex Systems, 2020, vol. 93, issue 8, 1-9

Abstract: Abstract The car-following behavior has attracted much attention in past decades. However, the majority of the existing studies ignored the fact that the following vehicle in car-following may prevent the lane-changing of the vehicle on the adjacent lanes, when a large gap exists between the following and leading vehicles. Therefore, this paper proposes a new car-following model considering the lane-changing prevention effect. The final velocity of the following vehicle is a combination of a safe velocity and a lane-changing prevention velocity. The stability condition of the model is derived and verified through numerical simulation, and impacts of several factors on stability are analyzed. The results display that the stability condition is consistent with the simulation results. The most significant factors impacting on the stability are the safe time-headway for lane-changing and the contribution proportion α of the safe velocity and lane-changing prevention velocity. The optimal values exist for the proportion α and lane-changing time headway that can make the stability of the traffic flow the highest. Graphical abstract

Keywords: Statistical; and; Nonlinear; Physics (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (3)

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DOI: 10.1140/epjb/e2020-10028-3

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