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A New Car-Following Model with Consideration of Dynamic Safety Distance

Author

Listed:
  • Tao Wang
  • Jing Zhang
  • Guangyao Li
  • Keyu Xu
  • Shubin Li

Abstract

In the traditional optimal velocity model, safe distance is usually a constant, which, however, is not representative of actual traffic conditions. This paper attempts to study the impact of dynamic safety distance on vehicular stream through a car-following model. Firstly, a new car-following model is proposed, in which the traditional safety distance is replaced by a dynamic term. Then, the phase diagram in the headway, speed, and sensitivity spaces is given to illustrate the impact of a variable safe distance on traffic flow. Finally, numerical methods are conducted to examine the performance of the proposed model with regard to two aspects: compared with the optimal velocity model, the new model can suppress traffic congestion effectively and, for different safety distances, the dynamic safety distance can improve the stability of vehicular stream. Simulation results suggest that the new model is able to enhance traffic flow stability.

Suggested Citation

  • Tao Wang & Jing Zhang & Guangyao Li & Keyu Xu & Shubin Li, 2018. "A New Car-Following Model with Consideration of Dynamic Safety Distance," Discrete Dynamics in Nature and Society, Hindawi, vol. 2018, pages 1-5, November.
  • Handle: RePEc:hin:jnddns:5326947
    DOI: 10.1155/2018/5326947
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    Cited by:

    1. Zhang, Xiangzhou & Shi, Zhongke & Yang, Qiaoli & An, Xiaodong, 2024. "Impacts of visuo-spatial working memory on the dynamic performance and safety of car-following behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 637(C).
    2. Zhang, Xiangzhou & Shi, Zhongke & Yu, Shaowei & Ma, Lijing, 2023. "A new car-following model considering driver’s desired visual angle on sharp curves," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 615(C).

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