Artificial transportation systems (ATS) are an extension of traffic simulations that deal with transportation issues from the complex systems perspective in a systematic and synthetic way. A rule-based iterative ATS design process is presented in this paper, together with a prototype based on the multiagent platform-Swarm and the methods and results of computational experiments conducted on it. Both emergence-based observation and statistical analysis are used to evaluate those results. This paper demonstrates the ability of ATS to generate traffic phenomena from simple consensus rules and the possibility of designing a growing ATS with readily available multiagent tools.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Growing Artificial Transportation Systems: A Rule-Based Iterative Design Process


    Beteiligte:
    Jinyuan Li, (Autor:in) / Shuming Tang, (Autor:in) / Xiqin Wang, (Autor:in) / Wei Duan, (Autor:in) / Fei-Yue Wang, (Autor:in)


    Erscheinungsdatum :

    01.06.2011


    Format / Umfang :

    813428 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Bus transportation a growing industry

    Stocks, C.W. | Engineering Index Backfile | 1930


    Motor truck transportation growing rapidly

    Engineering Index Backfile | 1918


    Iterative Demand Generation for Transportation Simulations

    Esser, J. / Nagel, K. / International Association of Travel Behaviour Research | British Library Conference Proceedings | 2001