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HU Hua, GAO Yun-feng, YANG Xiao-guang. Probabilistic traffic forecast method based on comprehensive transport information platform[J]. Journal of Traffic and Transportation Engineering, 2009, 9(3): 122-126. doi: 10.19818/j.cnki.1671-1637.2009.03.024
Citation: HU Hua, GAO Yun-feng, YANG Xiao-guang. Probabilistic traffic forecast method based on comprehensive transport information platform[J]. Journal of Traffic and Transportation Engineering, 2009, 9(3): 122-126. doi: 10.19818/j.cnki.1671-1637.2009.03.024
shu

Probabilistic traffic forecast method based on comprehensive transport information platform

doi: 10.19818/j.cnki.1671-1637.2009.03.024
  • 1.

    School of Transportation Engineering, Tongji University, Shanghai 201804, China

  • 2.

    School of Electronics and Information, Tongji University, Shanghai 201804, China

More Information
  • Author Bio:

    HU Hua(1979-), female, doctoral student, +86-21-69588994, huhua1979@126.com

    YANG Xiao-guang(1959-), male, professor, +86-21-69588994, yangxg@mail.tongji.edu.cn

  • Received Date: 2008-12-29
  • Publish Date: 2009-06-25
    Abstract
  • Taking the effects of traffic index release on traffic forecast into consideration, a procedure frame of traffic forecast was established based on comprehensive transport information platform (CTIP), mode matching method and probability statistics method.Two key implementation technologies were studied, including three-level traffic data fusion and traffic index release.Example result shows that probabilistic traffic forecast method reduces the saturation gap of main road and alternative road from 40% to 23%, improves the confidence of traffic forecast by considering the influences of traffic index release on travel behavior, and can balance OD distribution of road network effectively.

     

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