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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)
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