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An improved car-following model considering the preceding vehicle’s velocity feedback and desired inter-vehicle distance

Chengjun Kang, Yongsheng Qian, Junwei Zeng and Xuting Wei
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Chengjun Kang: School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou, Gansu 730000, P. R. China
Yongsheng Qian: School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou, Gansu 730000, P. R. China
Junwei Zeng: School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou, Gansu 730000, P. R. China
Xuting Wei: School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou, Gansu 730000, P. R. China

International Journal of Modern Physics C (IJMPC), 2022, vol. 33, issue 07, 1-19

Abstract: In this paper, an improved car-following model is raised by taking the preceding vehicle’s velocity feedback and desired inter-vehicle distance into account. The asymptotic and local stability criteria are obtained via control theory method to analyze the effect of the preceding vehicle’s velocity feedback and desired inter-vehicle distance on dynamic characteristics of traffic flow. In addition, numerical simulations are constructed on vehicle starting and traffic flow evolution processes, which show that the proposed car-following model can better present the characteristics of traffic flow. The preceding vehicle’s velocity feedback and desired inter-vehicle distance play a vital role on vehicle starting process and the stability of traffic flow.

Keywords: Car-following model; velocity feedback; desired inter-vehicle distance; stability analysis (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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DOI: 10.1142/S0129183122500930

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