• DocumentCode
    2470146
  • Title

    Research on slow traffic travel demand forcasting at urban intersections

  • Author

    Liu, Hong ; Chen, Xuewu

  • Author_Institution
    Jiangsu Provincial Key Lab of Transportation Planning and Management, Southeast University, Nanjing, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    6248
  • Lastpage
    6252
  • Abstract
    Reasonable Slow traffic (non-motor vehicle and pedestrian) travel demand foresting is the premise and foundation of urban traffic intersection optimization. Aimed at dealing with the lack of slow traffic volume estimation at urban intersections while the inherent mixed traffic characteristics of our country, this paper analyzes the latest research on slow traffic demand forecasting from the following aspects: influencing factors and prediction methods. Suggested establishing the slow traffic volume estimation model by analyzing the relationship of it with the land use, demographic characteristics, transportation system characteristics near the intersection and intersections´ own facility characteristics. Given recommended values of the sample selection, investigation scope and survey indicators according to China´s national conditions.
  • Keywords
    Bicycles; Cities and towns; Demand forecasting; Educational institutions; Estimation; Planning; Slow Traffic; Travel Demand Forcasting; Urban Intersection; non-motor vehicle; pedestrian;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
  • Conference_Location
    Nanjing, China
  • Print_ISBN
    978-1-4244-9172-8
  • Type

    conf

  • DOI
    10.1109/RSETE.2011.5965785
  • Filename
    5965785