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GAN Hong-cheng, YANG Zhen-zhen. Inductive benefit simulation algorithm of VMS travel time[J]. Journal of Traffic and Transportation Engineering, 2012, 12(1): 121-126. doi: 10.19818/j.cnki.1671-1637.2012.01.019
Citation: GAN Hong-cheng, YANG Zhen-zhen. Inductive benefit simulation algorithm of VMS travel time[J]. Journal of Traffic and Transportation Engineering, 2012, 12(1): 121-126. doi: 10.19818/j.cnki.1671-1637.2012.01.019
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Inductive benefit simulation algorithm of VMS travel time

doi: 10.19818/j.cnki.1671-1637.2012.01.019

  • School of Business, University of Shanghai for Science and Technology, Shanghai 200093, China

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  • Author Bio:

    GAN Hong-cheng(1978-), male, associate professor, PhD, + 86-21-65679404, hongchenggan@126.com

  • Publish Date: 2012-02-25
    Abstract
  • Based on macroscopic traffic simulation model, the inductive benefit simulation method of variable message sign(VMS) travel time was proposed, and the influences of information concern ratio and information comprehension deviation coefficients for drivers on the inductive benefit of VMS travel time were analyzed. The travel time calculation model, driver information response model and METANET simulation model were taken as theory foundations, the improving ratio of total road network consuming time was taken as inductive benefit objective, and simulation tests on three road networks with different sizes were carried out. Simulation result shows that VMS travel time normally has positive inductive benefit on improving the running efficiency of road network. The higher the information concern ratio is, the smaller the information comprehension deviation coefficient is, and the more significant the inductive benefit is. While information concern ratio is over 80G, the inductive benefits of small, medium and large road networks are above 28. 89%, 15. 87% and 10. 53% respectively. So the simulation algorithm is effective.

     

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    • References(16)
  • [1]
    RICHARDS A, MCDONALD M. Questionnaire surveys to evaluate user response to variable message signs in an urban network[J]. Intelligent Transport Systems, 2007, 1 (3): 177-185. doi: 10.1049/iet-its:20060046
    [2]
    ERKE A, SAGBERG F, HAGMAN R. Effects of route guidance variable message signs (VMS) on driver behaviour[J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2007, 10 (6): 447-457. doi: 10.1016/j.trf.2007.03.003
    [3]
    GAN Hong-cheng. Exploring drivers'route choice response to real-time guidance information of variable message signs[J]. Systems Engineering, 2008, 26 (3): 11-16. (in Chinese) doi: 10.3969/j.issn.1001-4098.2008.03.003
    [4]
    GAN Hong-cheng, SUN Li-jun, CHEN Jian-yang. Study on traveler behavior under influence of advanced traveler information system[J]. Journal of Tongji University: Natural Science, 2006, 34 (11): 1484-1488. (in Chinese) doi: 10.3321/j.issn:0253-374X.2006.11.013
    [5]
    WEI Yun, FAN Bing-quan, HAN Yin, et al. Impact of traffic guidance information on vehicle behavior in network[J]. Journal of Traffic and Transportation Engineering, 2009, 9 (6): 114-120, 126. (in Chinese) doi: 10.3969/j.issn.1671-1637.2009.06.022
    [6]
    WU Wen-xiang, HUANG Hai-jun. Study on behavior impacts caused by travel information systems in parallel route[J]. Journal of Management Sciences in China, 2003, 6 (2): 12-16. (in Chinese) doi: 10.3321/j.issn:1007-9807.2003.02.002
    [7]
    AN Shi, LI Jing, CUI Jian-xun. Research on commuter's travel behavior faced to multi-agent under pre-trip information[J]. China Journal of Highway and Transport, 2009, 22 (3): 95-100. (in Chinese) doi: 10.3321/j.issn:1001-7372.2009.03.017
    [8]
    SHI Xiao-fa, WANG Wei, LI Wen-quan. Information effects in transportation network[J]. Journal of Systems Engineering, 2001, 16 (3): 167-171. (in Chinese) doi: 10.3969/j.issn.1000-5781.2001.03.002
    [9]
    MAMMAR S, MESSMER A, JENSEN P, et al. Automatic control of variable message signs in AALBORG[J]. Transportation Research Part C: Emerging Technologies, 1996, 4 (3): 131-150. doi: 10.1016/S0968-090X(96)00005-8
    [10]
    MENG Chao, SHAO Chun-fu, LI Wei, et al. Impact simulation of VMSs on driver's route selection behaviors[J]. Urban Transport of China, 2009, 7 (1): 76-81. (in Chinese) doi: 10.3969/j.issn.1672-5328.2009.01.020
    [11]
    YANG Xiao-guang, WU Su-feng, YUN Mei-ping. Validity analysis of traffic information on day-to-day travel by simulating[J]. Computer Engineering and Applications, 2007, 43 (4): 12-15. (in Chinese) doi: 10.3321/j.issn:1002-8331.2007.04.005
    [12]
    YANG Zhen-zhen, GAN Hong-cheng. Large social event oriented freeway network control strategy simulation evaluation approach[J]. Application Research of Computers, 2010, 27 (12): 4473-4475. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JSYJ201012024.htm
    [13]
    SHANG Hua-yan, HUANG Hai-jun, GAO Zi-you. Locating the variable message signs by cell transmission model[J]. Acta Physica Sinica, 2007, 56 (8): 4342-4347. (in Chinese) doi: 10.3321/j.issn:1000-3290.2007.08.006
    [14]
    GAN Hong-cheng, SUN Li-jun, CHEN Jian-yang, et al. Advanced traveler information system for metropolitan expressways in Shanghai, China[J]. Transportation Research Record, 2006 (1944): 35-40.
    [15]
    GAN Hong-cheng. Graphical route information panel for the urban freeway network in Shanghai, China[J]. Intelligent Transport Systems, 2010, 4 (3): 212-220. doi: 10.1049/iet-its.2010.0017
    [16]
    KOTSIALOS A, PAPAGEORGIOU M, MANGEAS M, et al. Coordinated and integrated control of motorway networks via non-linear optimal control[J]. Transportation Research Part C: Emerging Technologies, 2002, 10 (1): 65-84. doi: 10.1016/S0968-090X(01)00005-5
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