With the development of science and technology, the Geographic Information System (GIS) which has the function of storage, management, analysis and expression of Spatiotemporal data, has become a powerful tool in solving urban traffic problems, and the spatiotemporal data modeling on urban traffic network has become the important foundation of the new theoretic research generation on GIS-T. Based on analysis of the applicability of current international spatiotemporal data models and with considering the characteristics of urban road traffic network under adverse weather conditions, the event-based object-oriented spatiotemporal data model is brought forward. Firstly, the intrinsic law of road traffic network is depicted and the traffic supply-demand influential factors under adverse weather conditions are analyzed. Secondly, the definitions of `class' and `objects' are given based on the above analysis, and Unified Modeling Language (UML) are applied to expressing the traffic attributes and relations. The influential factors under adverse conditions are taken as `event' in modeling road traffic network. Finally, analysis shows that this model provides a much more clear and flexible mode for forecasting, management and decision-making in traffic supply-demand researches. This study also provides a new way to vividly study urban traffic problems.


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    Titel :

    Spatiotemporal Data Model on Urban Road Traffic Network under Adverse Weather Conditions


    Beteiligte:
    Zhang, Xi-qiao (Autor:in) / An, Shi (Autor:in) / Miao, Xin (Autor:in)

    Kongress:

    First International Conference on Transportation Engineering ; 2007 ; Southwest Jiaotong University, Chengdu, China



    Erscheinungsdatum :

    2007-07-09




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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