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. First, the intrinsic law of road traffic network is depicted and the traffic supply-demand influential factors under adverse weather conditions are analyzed. After that, 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 spatiotemporal data modeling on urban traffic network under adverse weather conditions was got. In the end, example 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 solid foundation for studying urban traffic problems vividly and dynamically.


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    Titel :

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


    Weitere Titelangaben:

    Lect.Notes Electrical Eng.


    Beteiligte:
    Yang, Yuhang (Herausgeber:in) / Ma, Maode (Herausgeber:in) / Zhang, Xi-qiao (Autor:in) / Yang, Long-hai (Autor:in) / An, Shi (Autor:in)


    Erscheinungsdatum :

    04.01.2012


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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