Transportation engineers and planners attempt to understand urban travel characteristics to develop, formulate, and analyze problems and opportunities better. Transportation professionals use urban transportation models and typically implemented the four-step urban transportation planning process. This study examined a modified planning process that preassigned external trips to the transportation network before distributing and assigning internal trips. The preassignment, or preloading, of external trips helped to ensure that trips passing through the network were assigned to only the major through routes and that internal trips were modeled with the knowledge that external trips were present on the roadways before selecting destination or route. The study concluded that the preload methodology did not affect the validity of a travel model in a medium-sized urban travel forecast model and reduced assignment error on minor arterial roadways, which would not be the typical routes used by external travelers, to a level below the maximum deviation where an incorrect decision would be made regarding improvements to the roadway infrastructure.


    Access

    Download

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Evaluation of Network Preloads on a Medium-Sized Urban Travel Forecast Model


    Additional title:

    Transportation Research Record


    Contributors:


    Publication date :

    2004-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Evaluation of Network Preloads on a Medium-Sized Urban Travel Forecast Model

    Anderson, M. D. / Olander, J. P. / Gholston, S. E. et al. | British Library Conference Proceedings | 2004



    Development of a model for determination of preloads on blade shrouds

    E. Yu. Pechenina / E. V. Kudashov / V. A. Pechenin | DOAJ | 2023

    Free access

    An Approach to Dynamic Route Travel Time Forecast on Urban Expressway Network

    Shao, Chunfu / Asai, Kazuhiko / Nakagawa, Shinji et al. | ASCE | 2000