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Impact of risk illusions on traffic flow in fog weather

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  • Tan, Jin-hua

Abstract

In this study, an extended car-following model is proposed to investigate the impacts of driver’s risk illusions on traffic flow stability, velocity, acceleration and headway fluctuation frequency in fog weather. Through stability analysis and numerical simulation, the results indicate that risk illusions weaken the stabilization of traffic system. Furthermore, it is shown that the proposed model is more dangerous than the full velocity difference model from the perspectives of the maximum velocity and acceleration. Additionally, risk illusions increase the headway fluctuation frequency, which means that more adjustments of the headway are needed, increasing driver’s workload. Therefore, the impact of risk illusions on traffic flow is disadvantageous.

Suggested Citation

  • Tan, Jin-hua, 2019. "Impact of risk illusions on traffic flow in fog weather," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 216-222.
    • Handle: RePEc:eee:phsmap:v:525:y:2019:i:c:p:216-222
    DOI: 10.1016/j.physa.2019.03.023
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    Cited by:

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    2. Jinhua Tan & Li Gong & Xuqian Qin, 2019. "Effect of Imitation Phenomenon on Two-Lane Traffic Safety in Fog Weather," IJERPH, MDPI, vol. 16(19), pages 1-15, October.
    3. Junyan Han & Xiaoyuan Wang & Gang Wang, 2022. "Modeling the Car-Following Behavior with Consideration of Driver, Vehicle, and Environment Factors: A Historical Review," Sustainability, MDPI, vol. 14(13), pages 1-27, July.
    4. Zhang, Xiangzhou & Shi, Zhongke & Chen, Jianzhong & Ma, lijing, 2023. "A bi-directional visual angle car-following model considering collision sensitivity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
    5. Jinhua Tan & Xuqian Qin & Li Gong, 2020. "Using Vehicle-to-Vehicle Communication to Improve Traffic Safety in Sand-dust Environment," IJERPH, MDPI, vol. 17(4), pages 1-15, February.

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