CHEN Jing-rong, XU Rui-hua. Route choice model with preferences in traffic network[J]. Journal of Traffic and Transportation Engineering, 2012, 12(2): 100-104. doi: 10.19818/j.cnki.1671-1637.2012.02.014
Citation: CHEN Jing-rong, XU Rui-hua. Route choice model with preferences in traffic network[J]. Journal of Traffic and Transportation Engineering, 2012, 12(2): 100-104. doi: 10.19818/j.cnki.1671-1637.2012.02.014

Route choice model with preferences in traffic network

doi: 10.19818/j.cnki.1671-1637.2012.02.014
More Information
  • Author Bio:

    CHEN Jing-rong(1975-), female, associate professor, PhD, +86-931-4938625, chenjr@mail.lzjtu.cn

  • Received Date: 2011-12-13
  • Publish Date: 2012-04-25
  • In urban traffic network, when the attributes of times and costs for paths were confirmed, the path selection problems with the preferences of travelers or not were analyzed.When there were no preferences, the integrated attribute value of each path was obtained by using the information entropy theory and the multi-attribute synthetic decision method.When the preferences for different paths were given by using the reciprocal judgment matrixes, for obtaining the weight of each attribute, an optimal model of weight vectors was set up to minimize the deviations between the reciprocal judgment matrixes.The model was solved by the analytic method, the attribute weights were used to calculate the integrated values of the paths, and the path with the maximum was the optimal.Analysis result shows that for the no preference problem, path 2 is the optimal with the integrated value 0.918.Otherwise, for the preference problem, path 4 is the optimal with the integrated value 0.965.Under the two conditions, the orders of six chosen paths are different.So, the preferences of travelers have obvious effect on route choice.

     

  • loading
  • [1]
    LAM W H K, LI Zhi-chun, HUANG Hai-jun, et al. Modeling time-dependent travel choice problems in road networks with multiple user classes and multiple parking facilities[J]. Transportation Research Part B: Methodological, 2006, 40(5): 368-395. doi: 10.1016/j.trb.2005.05.003
    [2]
    GAO Song, CHABINI I. Optimal routing policy problems in stochastic time-dependent networks[J]. Transportation Research Part B: Methodological, 2006, 40(2): 93-122. doi: 10.1016/j.trb.2005.02.001
    [3]
    OPASANON S, MILLER-HOOKS E. Multicriteria adaptive paths in stochastic, time-varying networks[J]. European Journal of Operational Research, 2006, 173(1): 72-91. doi: 10.1016/j.ejor.2004.12.003
    [4]
    CHANG T S, NOZICK L K, TURNQUIST M A. Multi-objective path finding in stochastic dynamic networks, with application to routing hazardous materials shipments[J]. Transportation Science, 2005, 39(3): 383-399. doi: 10.1287/trsc.1040.0094
    [5]
    李振龙. 诱导条件下驾驶员路径选择行为的演化博弈分析[J]. 交通运输系统工程与信息, 2003, 3(2): 23-27. https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT200302005.htm

    LI Zhen-long. A study of route choice behavior of drivers based on the evolutionary game under the condition of traffic flow guidance[J]. Journal of Transportation Systems Engineering and Information Technology, 2003, 3(2): 23-27. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT200302005.htm
    [6]
    王媛, 杨兆升, 管青, 等. 自适应路径规划系统研究[J]. 公路交通科技, 2009, 26(5): 117-122. https://www.cnki.com.cn/Article/CJFDTOTAL-GLJK200905024.htm

    WANG Yuan, YANG Zhao-sheng, GUAN Qing, et al. Study on adaptive route planning system[J]. Journal of Highway and Transportation Research and Development, 2009, 26(5): 117-122. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-GLJK200905024.htm
    [7]
    于德新, 杨薇, 杨兆升. 重大灾害条件下基于GIS的最短路径改进算法[J]. 交通运输工程学报, 2011, 11(4): 123-126. http://transport.chd.edu.cn/article/id/201104019

    YU De-xin, YANG Wei, YANG Zhao-sheng. Shortest path improved algorithm based on GIS under large-scale disaster[J]. Journal of Traffic and Transportation Engineering, 2011, 11(4): 123-126. (in Chinese). http://transport.chd.edu.cn/article/id/201104019
    [8]
    陈京荣. 交通网络路径选择及应用研究[D]. 兰州: 兰州交通大学, 2009.

    CHEN Jing-rong. Research on route choice and its application in traffic networks[D]. Lanzhou: Lanzhou Jiaotong University, 2009. (in Chinese).
    [9]
    陈京荣, 俞建宁, 李引珍. 随机时间依赖交通网络自适应路径选择[J]. 西南交通大学学报, 2009, 44(4): 523-529. doi: 10.3969/j.issn.0258-2724.2009.04.009

    CHEN Jing-rong, YU Jian-ning, LI Yin-zhen. Adaptive path selection in stochastic and time-dependent traffic networks[J]. Journal of Southwest Jiaotong University, 2009, 44(4): 523-529. (in Chinese). doi: 10.3969/j.issn.0258-2724.2009.04.009
    [10]
    陈京荣, 俞建宁, 李引珍. 基于蚁群算法的多属性路径选择模型[J]. 系统工程, 2009, 27(5): 30-34. https://www.cnki.com.cn/Article/CJFDTOTAL-GCXT200905007.htm

    CHEN Jing-rong, YU Jian-ning, LI Yin-zhen. Model of choosing routes with multi-attributes based on ant colony algorithm[J]. Systems Engineering, 2009, 27(5): 30-34. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-GCXT200905007.htm
    [11]
    张文泉, 张世英, 江立勤. 基于熵的决策评价模型及应用[J]. 系统工程学报, 1995, 10(3): 69-74. https://www.cnki.com.cn/Article/CJFDTOTAL-XTGC503.009.htm

    ZHANG Wen-quan, ZHANG Shi-ying, JIANG Li-qin. A deci-sion assessment model based on entropy and its application[J]. Journal of Systems Engineering, 1995, 10(3): 69-74. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-XTGC503.009.htm
    [12]
    徐泽水. AHP中两类标度的关系研究[J]. 系统工程理论与实践, 1999, 19(7): 97-101. https://www.cnki.com.cn/Article/CJFDTOTAL-XTLL907.016.htm

    XU Ze-shui. Study on the relation between two classes of scales in AHP[J]. Systems Engineering—Theory and Prac-tice, 1999, 19(7): 97-101. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-XTLL907.016.htm
    [13]
    XU Ze-shui, WEI Cui-ping. A new method for priorities in the analytic hierarchy process[J]. Operations Research Transactions, 2000, 4(3): 47-54.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (783) PDF downloads(898) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return