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LONG Xue-qin, GUAN Hong-zhi, QIN Huan-mei. Calculation model of maximum travel distance on urban road[J]. Journal of Traffic and Transportation Engineering, 2012, 12(4): 75-82. doi: 10.19818/j.cnki.1671-1637.2012.04.010
Citation: LONG Xue-qin, GUAN Hong-zhi, QIN Huan-mei. Calculation model of maximum travel distance on urban road[J]. Journal of Traffic and Transportation Engineering, 2012, 12(4): 75-82. doi: 10.19818/j.cnki.1671-1637.2012.04.010
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Calculation model of maximum travel distance on urban road

doi: 10.19818/j.cnki.1671-1637.2012.04.010

  • Key Lab of Transportation Engineering of Beijing, Beijing University of Technology, Beijing 100124, China

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  • Author Bio:

    LONG Xue-qin (1982-), female, doctoral student, +86-10-67396182, xueqinangel@163.com

    GUAN Hong-zhi (1959-), male, professor, PhD, +86-10-67391980, hguan@bjut.edu.cn

  • Received Date: 2012-01-04
  • Publish Date: 2012-08-25
    Abstract
  • In order to reflect the influence of traffic accident delay on route choice for traveler reasonably, traffic accident delay model under random state was put out.The uncertain factors of traffic accident such as randomness, duration and road capacity were introduced into traffic assignment model, and the route choice model was modified.The maximum preponderant travel range of each grade road was analyzed.According to the modified route choice model, successive traffic assignment method was adopted.The turnovers and travel distances of all grade roads were got, and the travel distances were compared with the travel distances while traffic accident delay was not considered.Analysis result shows that while traffic accident delay is considered, the maximum travel distances of brunch, secondary primary road, main road and expressway are 2.000, 2.946, 4.054 and 5.963 km respectively.While traffic accident delay is not considered, the maximum distances of those roads are 2.000, 3.000, 6.000 and 10.000 km respectively.Traffic accident delay is the significant factor for traveler route choice.While traffic accident delay is considered, the maximum travel distances of higher grade roads decrease.Compared with the conventional route choice models, the proposed model is better.

     

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  • [1]
    NIU Xue-qin, WANG Wei, YIN Zhi-wei. Research on method of urban passenger traffic mode split forecast[J]. Journal of Highway and Transportation Research and Development, 2004, 21 (3): 75-77, 96. (in Chinese). doi: 10.3969/j.issn.1002-0268.2004.03.020
    [2]
    YAN Min. Research on impact factors of urban residents travel distance[D]. Chengdu: Southwest Jiaotong University, 2005. (in Chinese).
    [3]
    CHEN Shang-yun, DU Wen, GAO Shi-lian. The study on the model and parameter of urban-trip distribution in metrop-olises of China[J]. Systems Engineering, 2002, 20 (4): 63-66. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-GCXT200204012.htm
    [4]
    CHEN Shang-yun, DU Wen. A study on the development mode of urban traffic and land-use patterns in big cities of China[J]. Systems Engineering, 2003, 21 (3): 53-57. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-GCXT200303010.htm
    [5]
    FAN Da-ke. Research on the road category structure opti-mized in big city[D]. Xi'an: Chang'an University, 2005. (in Chinese).
    [6]
    ZHOU Wen-zhu, WANG Wei, GUO Zhi-yong. Travel dis-tance of different modes traveled on each grade road[J]. Journal of Wuhan University of Technology: Transportation Science and Engineering, 2009, 33 (5): 976-979. (in Chinese). doi: 10.3963/j.issn.1006-2823.2009.05.041
    [7]
    DONG Hong-li. Research on reasonable structure and dis-tance of urban road network[D]. Wuhan: Wuhan University of Technology, 2007. (in Chinese).
    [8]
    SHI Fei. Research on grade proportion and layout method of urban road[D]. Nanjing: Southeast University, 2006. (in Chinese).
    [9]
    NAM D, MANNERING F. An exploratory hazard-based analysis of highway incident duration[J]. Transportation Research Part A: Policy and Practice, 2000, 34 (2): 85-102. doi: 10.1016/S0965-8564(98)00065-2
    [10]
    CHIEN S I J, GOULIAS D G, YAHALOM S, et al. Simu-lation-based estimates of delays at freeway work zones[J]. Journal of Advanced Transportation, 2002, 36 (2): 131-156. doi: 10.1002/atr.5670360202
    [11]
    FU Li-ping. A fuzzy queuing model for real-time, adaptive prediction of incident delay for ATMS/ATIS[J]. Transpor-tation Planning and Technology, 2004, 27 (1): 1-23. doi: 10.1080/0308106042000184436
    [12]
    SHEU J B, CHOU Y H, SHEN L J. A stochastic estimation approach to real-time prediction of incident effects on freeway traffic congestion[J]. Transportation Research Part B: Methodological, 2001, 35 (6): 575-592. doi: 10.1016/S0191-2615(00)00011-4
    [13]
    LI Ji-bing, LAN C J, GU Xiao-ju. Estimation of incident delay and its uncertainty on freeway networks[J]. Transportation Research Record, 2006 (1959): 37-45. https://trid.trb.org/view.aspx?id=777664
    [14]
    BOYLES S, WALLER T. A stochastic delay prediction model for real-time incident management[J]. Institute of Transpor-tation Engineers, 2007, 77 (11): 18-24. https://www.sciencedirect.com/science/article/pii/S0191261500000114
    [15]
    CHEN Yan-yan, WANG Guang-yuan. The estimation of indirect loss expectation after earthquake considering random-ness of traffic demand and supply[J]. World Earthquake Engineering, 2003, 19 (1): 25-30. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-SJDC200301005.htm
    [16]
    SAWALHAL Z, SAYED T. Evaluating safety of urban arterial roadways[J]. Journal of Transportation Engineering, 2001, 127 (2): 151-158. doi: 10.1061/(ASCE)0733-947X(2001)127:2(151)
    [17]
    JI-YANG Bei-bei. Research on prediction method of traffic incident duration[D]. Shanghai: Tongji University, 2008. (in Chinese).
    [18]
    LIU Wei-ming, GUAN Li-ping, YIN Xiang-yuan. Prediction of freeway incident duration based on decision tree[J]. China Journal of Highway and Transport, 2008, 18 (1): 99-103. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL200501022.htm
    [19]
    KNOOP V L, HOOGENDOORN S P, VAN ZUYLEN H J. Capacity reduction at incidents: empirical data collected from a helicopter[J]. Transportation Research Record, 2008 (2071): 19-25. doi: 10.3141/2071-03
    [20]
    QIN Ling, SMITH B. Characterization of accident capacity reduction[R]. Charlottesville: The University of Virginia, 2001.
    [21]
    SI Bing-feng, YANG Xiao-bao, GAO Liang, et al. Urban multimodal traffic assignment model based on travel demand[J]. China Journal of Highway and Transport, 2010, 23 (6): 85-91. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201006014.htm
    [22]
    LUAN Yi-feng, FU Xin, GAN Jia-hua. Discussion on the traffic network systems optimzation around the central city based on travel behaviour[J]. Journal of Chang'an University: Social Science Edition, 2011, 13 (1): 38-41. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-XBJZ201101007.htm
    [23]
    LI Cong-ying, MA Rong-guo, WANG Zhao-fei. Research on travel behavior of slow traffic based on activity analysis[J]. Journal of Chang'an University: Natural Science Edition, 2011, 31 (2): 86-90. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL201102020.htm
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