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The non-lane-discipline-based car-following model considering forward and backward vehicle information under connected environment

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A Correction to this article was published on 07 December 2021

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Abstract

Due to the development of vehicle-to-vehicle (V2V) communication technology in recent years, vehicles can obtain more information about other vehicles while driving. Therefore, in order to better describe the characteristics of car-following under connected environment, a new car-following model is proposed without lane discipline. In particular, based on lane-discipline-based full velocity difference (FVD) model, and non-lane-based full velocity difference car-following (NLBCF) model, the car-following model considers forward and backward vehicle information and lateral gaps effect by assuming that vehicle information can be obtained through V2V communication. Stability analysis is performed on the proposed model by using the small perturbation method, and the numerical simulation experiment is used to simulate the dynamic performance compared to the other models. The results of stability analysis and numerical simulation show that the new model has the larger stability region and has the ability to recover stability faster in the face of disturbances. In addition, it also proves that the proposed car-following mode can better describe the characteristics of traffic flow under connected environment.

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Acknowledgements

This research was partly funded by Projects of National Natural Science Foundation of China (Grant Nos. 71801149, 71801153, 52172371), Natural Science Foundation of Shanghai (Grant No. 20ZR1422300), Technical Service Platform for Noise and Vibration Evaluation and Control of New Energy Vehicles at Science and Technology Commission of Shanghai Municipality, China (Grant No. 18DZ2295900), and the Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning, Program of Shanghai Academic/Technology Research Leader (Grant No. 21XD1401100).

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Authors and Affiliations

  1. School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai, 201620, China

    Jiacheng Xiao, Minghui Ma & Guangyi Ma

  2. Business School, University of Shanghai for Science and Technology, Shanghai, 200 093, China

    Shidong Liang

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  1. Jiacheng Xiao
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  2. Minghui Ma
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  4. Guangyi Ma
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Correspondence to Minghui Ma.

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Xiao, J., Ma, M., Liang, S. et al. The non-lane-discipline-based car-following model considering forward and backward vehicle information under connected environment. Nonlinear Dyn 107, 2787–2801 (2022). https://doi.org/10.1007/s11071-021-06999-8

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