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Cellular automaton simulation of muti-lane traffic flow including emergency vehicle

Zhao Han-Tao Mao Hong-Yan

Cellular automaton simulation of muti-lane traffic flow including emergency vehicle

Zhao Han-Tao, Mao Hong-Yan
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  • Based on the analysis of urban road traffic flow affected by emergency vehicle, a muti-lane cellular automaton model is established. Three characteristic variables are introduced to modify the lane change rules, including the give-way state variable, the affected areas of police siren and the safe distance for mandatory lane change. Numerical simulation results indicate that lane number and hybrid vehicle scale factor have a great influence on vehicle speed and lane change number in low-density range. And the parameter setting for affected areas of police siren changes the lane change number within a certain range. Meanwhile, the parameter of safe distance for mandatory lane change mainly affects emergency vehicle speed and lane change number. The study indicates that the appearance of emergency vehicle interferences with traffic flow of lower density obviously, and the proposed parameters make cellular automaton model closer to the actual traffic scenarios under emergency conditions.
    • Funds: Project supported by the China Postdoctoral Science Foundation (Grant No. 2011M500676).
    [1]

    Nagel K, Schreckenberg M 1992 J. Phys. I 2 2221

    [2]

    Knospe W, Santen L, Schadschneider A, Schreckenberg M 2000 J. Phys. A 33 477

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    Jiang R, Wu Q S 2003 J. Phys. A 36 381

    [4]

    Qian Y S, Zeng J W, Du J W, Liu Y F, Wang M, Wei J 2011 Acta Phys. Sin. 60 060505 (in Chinese) [钱勇生, 曾俊伟, 杜加伟, 刘宇斐, 王敏, 魏军 2011 物理学报 60 060505]

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    Jia B, Jiang R, Wu Q S, Hu M B 2005 Physica A 348 544

    [6]

    Zheng L, Ma S F, Zhong S Q 2011 Physica A 390 1072

    [7]

    Li Q L, Sun X Y, Wang B H, Liu M R 2010 Acta Phys. Sin. 59 5996 (in Chinese) [李启朗, 孙晓燕, 汪秉宏, 刘慕仁 2010 物理学报 59 5996]

    [8]

    Zhu L H, Zheng R S, Tian H H, Wei Y F 2011 Acta Phys. Sin. 60 128901 (in Chinese) [朱留华, 郑容森, 田欢欢, 韦艳芳 2011 物理学报 60 128901]

    [9]

    Kuang H, Kong L J, Liu M R 2004 Acta Phys. Sin. 53 2894 (in Chinese) [邝华, 孔令江, 刘慕仁 2004 物理学报 53 2894]

    [10]

    Zheng R S, Tan H L, Kong L J, Liu M R 2005 Acta Phys. Sin. 54 3516 (in Chinese) [郑容森, 谭惠丽, 孔令江, 刘慕仁 2005 物理学报 54 3516]

    [11]

    Qian Y S, Wang H L, Wang C L 2008 Acta Phys. Sin. 57 2115 (in Chinese) [钱勇生, 汪海龙, 王春雷 2008 物理学报 57 2115]

    [12]

    Vasic J, Ruskin H J 2012 Physica A 391 2720

    [13]

    Hua X D, Wang W, Wang H 2011 Acta Phys. Sin. 60 084502(in Chinese) [华雪东, 王炜, 王昊 2011 物理学报 60 084502]

    [14]

    Peng L J, Kang R 2009 Acta Phys. Sin. 58 830 (in Chinese) [彭莉娟, 康瑞 2009 物理学报 58 830]

    [15]

    Kang R, Peng L J, Yang K 2009 Acta Phys. Sin. 58 4514 (in Chinese) [康瑞, 彭莉娟, 杨凯 2009 物理学报 58 4514]

    [16]

    Mou Y B, Zhong C W 2005 Acta Phys. Sin. 54 5597 (in Chinese) [牟勇飚, 钟诚文 2005 物理学报 54 5597]

  • [1]

    Nagel K, Schreckenberg M 1992 J. Phys. I 2 2221

    [2]

    Knospe W, Santen L, Schadschneider A, Schreckenberg M 2000 J. Phys. A 33 477

    [3]

    Jiang R, Wu Q S 2003 J. Phys. A 36 381

    [4]

    Qian Y S, Zeng J W, Du J W, Liu Y F, Wang M, Wei J 2011 Acta Phys. Sin. 60 060505 (in Chinese) [钱勇生, 曾俊伟, 杜加伟, 刘宇斐, 王敏, 魏军 2011 物理学报 60 060505]

    [5]

    Jia B, Jiang R, Wu Q S, Hu M B 2005 Physica A 348 544

    [6]

    Zheng L, Ma S F, Zhong S Q 2011 Physica A 390 1072

    [7]

    Li Q L, Sun X Y, Wang B H, Liu M R 2010 Acta Phys. Sin. 59 5996 (in Chinese) [李启朗, 孙晓燕, 汪秉宏, 刘慕仁 2010 物理学报 59 5996]

    [8]

    Zhu L H, Zheng R S, Tian H H, Wei Y F 2011 Acta Phys. Sin. 60 128901 (in Chinese) [朱留华, 郑容森, 田欢欢, 韦艳芳 2011 物理学报 60 128901]

    [9]

    Kuang H, Kong L J, Liu M R 2004 Acta Phys. Sin. 53 2894 (in Chinese) [邝华, 孔令江, 刘慕仁 2004 物理学报 53 2894]

    [10]

    Zheng R S, Tan H L, Kong L J, Liu M R 2005 Acta Phys. Sin. 54 3516 (in Chinese) [郑容森, 谭惠丽, 孔令江, 刘慕仁 2005 物理学报 54 3516]

    [11]

    Qian Y S, Wang H L, Wang C L 2008 Acta Phys. Sin. 57 2115 (in Chinese) [钱勇生, 汪海龙, 王春雷 2008 物理学报 57 2115]

    [12]

    Vasic J, Ruskin H J 2012 Physica A 391 2720

    [13]

    Hua X D, Wang W, Wang H 2011 Acta Phys. Sin. 60 084502(in Chinese) [华雪东, 王炜, 王昊 2011 物理学报 60 084502]

    [14]

    Peng L J, Kang R 2009 Acta Phys. Sin. 58 830 (in Chinese) [彭莉娟, 康瑞 2009 物理学报 58 830]

    [15]

    Kang R, Peng L J, Yang K 2009 Acta Phys. Sin. 58 4514 (in Chinese) [康瑞, 彭莉娟, 杨凯 2009 物理学报 58 4514]

    [16]

    Mou Y B, Zhong C W 2005 Acta Phys. Sin. 54 5597 (in Chinese) [牟勇飚, 钟诚文 2005 物理学报 54 5597]

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Publishing process
  • Received Date:  11 October 2012
  • Accepted Date:  01 November 2012
  • Published Online:  20 March 2013

Cellular automaton simulation of muti-lane traffic flow including emergency vehicle

  • 1. School of Automotive Engineering, Harbin Institute of Technology, Weihai 264209, China;
  • 2. Library of Harbin Institute of Technology, Weihai 264209, China
Fund Project:  Project supported by the China Postdoctoral Science Foundation (Grant No. 2011M500676).

Abstract: Based on the analysis of urban road traffic flow affected by emergency vehicle, a muti-lane cellular automaton model is established. Three characteristic variables are introduced to modify the lane change rules, including the give-way state variable, the affected areas of police siren and the safe distance for mandatory lane change. Numerical simulation results indicate that lane number and hybrid vehicle scale factor have a great influence on vehicle speed and lane change number in low-density range. And the parameter setting for affected areas of police siren changes the lane change number within a certain range. Meanwhile, the parameter of safe distance for mandatory lane change mainly affects emergency vehicle speed and lane change number. The study indicates that the appearance of emergency vehicle interferences with traffic flow of lower density obviously, and the proposed parameters make cellular automaton model closer to the actual traffic scenarios under emergency conditions.

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