The spatial-temporal traffic data analysis based on global data management is a newly developed and crucial approach to help traffic managers having the global view of urban traffic status in the level of road network, which is very clearly useful in traffic control and route guidance. The multiagent systems are used in traffic data management with full consideration of the characteristics of traffic data and the cooperation and workflow among them. In software implementation of data management, the agent-based common object request broker architecture is adopted taking the distributed urban traffic data in the large area under network environments into account. Based on the global traffic data, the approach of visualized spatial-temporal analysis is then induced. The similarity of traffic data is analyzed first for each link and its profile is achieved to undertake the primary processing of urban traffic data. Furthermore, analysis results are shown on the basis of the geographic information systems for transportation. The two types of visualization, pseudocolor and contour maps, are adopted in the demonstration to display the traffic status graphically and its changing frames. Among the applications in some big cities in China, the case of urban traffic analysis for Beijing is studied to demonstrate the implementation of the approach.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Spatial-temporal traffic data analysis based on global data management using MAS


    Beteiligte:
    He-Sheng Zhang, (Autor:in) / Yi Zhang, (Autor:in) / Zhi-Heng Li, (Autor:in) / Dong-Cheng Hu, (Autor:in)


    Erscheinungsdatum :

    01.12.2004


    Format / Umfang :

    1506463 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Spatial-Temporal Traffic Data Analysis Based on Global Data Management Using MAS

    Zhang, H.-S. / Zhang, Y. / Li, Z.-H. et al. | British Library Conference Proceedings | 2004


    Traffic Data Reconstruction via Adaptive Spatial-Temporal Correlations

    Wang, Yang / Zhang, Yong / Piao, Xinglin et al. | IEEE | 2019



    Spatial and Temporal Distribution Analysis of Traffic Accidents Using GIS-Based Data in Harbin

    Meina Wang / Jing Yi / Xirui Chen et al. | DOAJ | 2021

    Freier Zugriff

    Spatial and temporal feature extraction method based on traffic data

    XIAO HONGBO / XIAO JIANHUA / DING LIMING et al. | Europäisches Patentamt | 2024

    Freier Zugriff