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Research on influence of sun glare in urban tunnels based on cellular automaton model in the framework of Kerner’s three-phase traffic theory

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  • Hu, Xiaojian
  • Zhang, Fang
  • Lu, Jian
  • Liu, Mingyang
  • Ma, Yongfeng
  • Wan, Qian

Abstract

As ventilation shafts set at the top of urban tunnels becomes a common pattern for ventilation, the sunlight cast under the shafts could cause sun glares which negatively affect the driver’s visual performance. In this paper, the influence of sun glare on individual drivers in urban tunnels is quantitatively illustrated by the change rate of driver’s pupillary area. Then random choice model of deceleration behavior in response to sun glare (DBSG) is established. The DBSG in urban tunnels is incorporated into the well-known KKSW (Kerner–Klenov–Schreckeneberg–Wolf) CA model and a new cellular automata model, KKSW-UT (urban tunnels) CA model is proposed. By means of the numerical simulation, traffic flow characteristics in urban tunnel are studied in the framework of Kerner’s three-phase traffic theory. And the frequency and severity of rear-end conflicts in urban tunnels are analyzed to study the influence of DBSG on traffic safety. Based on the results, it is found that DBSG can negatively influence both the traffic operation and safety.

Suggested Citation

  • Hu, Xiaojian & Zhang, Fang & Lu, Jian & Liu, Mingyang & Ma, Yongfeng & Wan, Qian, 2019. "Research on influence of sun glare in urban tunnels based on cellular automaton model in the framework of Kerner’s three-phase traffic theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 527(C).
    • Handle: RePEc:eee:phsmap:v:527:y:2019:i:c:s0378437119307071
    DOI: 10.1016/j.physa.2019.121176
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    Citations

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    Cited by:

    1. Lu, Xingyu & Zhu, Huibing & Wang, Jieguang & Zhang, Ming & Zhou, Chunchun & Zhang, Huafeng, 2022. "Modeling impacts of the tunnel section on the mixed traffic flow: A case study of Jiaodong’ao Tunnel in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    2. Li, Yixin & Ni, Ying & Sun, Jian & Ma, Zian, 2020. "Modeling the illegal lane-changing behavior of bicycles on road segments: Considering lane-changing categories and bicycle heterogeneity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    3. Jing, Dian & Yao, Enjian & Chen, Rongsheng, 2023. "Moving characteristics analysis of mixed traffic flow of CAVs and HVs around accident zones," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 626(C).
    4. Zhou, Shirui & Ling, Shuai & Zhu, Chenqiang & Tian, Junfang, 2022. "Cellular automaton model with the multi-anticipative effect to reproduce the empirical findings of Kerner’s three-phase traffic theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 596(C).
    5. Hu, Xiaojian & Liu, Tenghui & Hao, Xiatong & Su, Ziyi & Yang, Zhikui, 2021. "Research on the influence of bus bay on traffic flow in adjacent lane: Simulations in the framework of Kerner’s three-phase traffic theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    6. Hu, Xiaojian & Hao, Xiatong & Wang, Han & Su, Ziyi & Zhang, Fang, 2020. "Research on on-street temporary parking effects based on cellular automaton model under the framework of Kerner’s three-phase traffic theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    7. Lyu, Zelin & Hu, Xiaojian & Zhang, Fang & Liu, Tenghui & Cui, Zhiwei, 2022. "Heterogeneous traffic flow characteristics on the highway with a climbing lane under different truck percentages: The framework of Kerner’s three-phase traffic theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 587(C).
    8. Hu, Xiaojian & Qiao, Longqi & Hao, Xiatong & Lin, Chenxi & Liu, Tenghui, 2022. "Research on the impact of entry points on urban arterial roads in the framework of Kerner’s three-phase traffic theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).

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