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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    Title :

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


    Contributors:
    Zhang, Xi-qiao (author) / An, Shi (author) / Miao, Xin (author)

    Conference:

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



    Publication date :

    2007-07-09




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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