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Using Vehicle-to-Vehicle Communication to Improve Traffic Safety in Sand-dust Environment

Author

Listed:
  • Jinhua Tan

    (School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China)

  • Xuqian Qin

    (School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China)

  • Li Gong

    (School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China)

Abstract

Sand-dust environment affects drivers’ perceptions of surrounding traffic conditions, resulting in unsafe operations. From an ergonomics perspective, such adverse effects could be alleviated by environment control as well as the assistance of machines. Vehicle-to-vehicle (V2V) communication appears to be an important component of machines in future traffic systems, which could support the driving task. In order to explore what influences V2V communication would generate on traffic systems, this paper proposes a car-following model accounting for V2V communication in a sand-dust environment. The results indicate that V2V communication helps to reduce the fluctuations of acceleration, headway, and velocity, when a small perturbation is added to the traffic flow in sand-dust environment. If a vehicle in the traffic flow stops suddenly, the number of crumped vehicles decreases with V2V communication taken into account. Furthermore, the residual velocities of the crumped vehicles decrease, which means the severity of collision is suppressed. It is concluded that V2V communication can play an active role in the improvement of traffic safety in a sand-dust environment.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:4:p:1165-:d:319866
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    References listed on IDEAS

    as
    1. Li, Xiangchen & Luo, Xia & He, Mengchen & Chen, Siwei, 2018. "An improved car-following model considering the influence of space gap to the response," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 536-545.
    2. Nagatani, Takashi, 2016. "Chain-reaction crash on a highway in high visibility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 450(C), pages 466-472.
    3. Nagatani, Takashi, 2015. "Chain-reaction crash in traffic flow controlled by taillights," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 1-6.
    4. Jinhua Tan & Li Gong & Xuqian Qin, 2019. "Global Optimality under Internet of Vehicles: Strategy to Improve Traffic Safety and Reduce Energy Dissipation," Sustainability, MDPI, vol. 11(17), pages 1-16, August.
    5. 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.
    6. Li, Zhipeng & Chen, Lizhu, 2014. "Effects of intelligent control mechanism on multiple-vehicle collision under emergency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 404(C), pages 16-25.
    7. G. F. Newell, 1961. "Nonlinear Effects in the Dynamics of Car Following," Operations Research, INFORMS, vol. 9(2), pages 209-229, April.
    8. Nagatani, Takashi & Yonekura, Shoichi, 2014. "Multiple-vehicle collision induced by lane changing in traffic flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 404(C), pages 171-179.
    9. Suliman Alghnam & Jawaher Towhari & Mohamed Alkelya & Ahmad Alsaif & Mohamed Alrowaily & Fawaz Alrabeeah & Ibrahim Albabtain, 2019. "The Association between Mobile Phone Use and Severe Traffic Injuries: A Case-Control Study from Saudi Arabia," IJERPH, MDPI, vol. 16(15), pages 1-11, July.
    10. 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.
    11. Sugiyama, Naoki & Nagatani, Takashi, 2013. "Multiple-vehicle collision in traffic flow by a sudden slowdown," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(8), pages 1848-1857.
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