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A Cellular Automata Model Of Traffic Flow With Consideration Of The Inertial Driving Behavior

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  • JIAN-XUN DING

    (School of Economics and Management, Beijing University of Aeronautics and Astronautics, Beijing 100191, China)

  • HAI-JUN HUANG

    (School of Economics and Management, Beijing University of Aeronautics and Astronautics, Beijing 100191, China)

Abstract

The inertial driving behavior, although observed in real traffic, has not been deeply understood in most previous studies. In this paper we propose a cellular automata model of the traffic on a single lane highway which considers the drivers' inertial behavior under different driving circumstances. Simulation results show that our model can capture such important features of the traffic as jam formation, phase transition and metastable states. Some of other models, like the slow-to-start model, can be derived from our model.

Suggested Citation

  • Jian-Xun Ding & Hai-Jun Huang, 2010. "A Cellular Automata Model Of Traffic Flow With Consideration Of The Inertial Driving Behavior," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 21(04), pages 549-557.
    • Handle: RePEc:wsi:ijmpcx:v:21:y:2010:i:04:n:s0129183110015300
    DOI: 10.1142/S0129183110015300
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    References listed on IDEAS

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    1. Hoover, W.G., 1995. "Comment on “Two disks in a box” [R.J. Speedy, Physica A 210 (1994) 341]," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 216(1), pages 195-195.
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    Cited by:

    1. Yu, Lei, 2020. "A new continuum traffic flow model with two delays," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    2. Fan, De-li & Zhang, Yi-cai & Shi, Yin & Xue, Yu & Wei, Fang-ping, 2018. "An extended continuum traffic model with the consideration of the optimal velocity difference," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 402-413.
    3. Wang, Xiao & Jiang, Rui & Li, Li & Lin, Yi-Lun & Wang, Fei-Yue, 2019. "Long memory is important: A test study on deep-learning based car-following model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 786-795.

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