Road Traffic congestion is a perennial problem across the globe. The nature of the problems associated with vehicular traffic is not uniform across the globe. In the recent past, several solutions were proposed to improve traffic management. However most of these solutions cater to the traffic scenarios in the developed countries where traffic is lane based and the issues being encountered is quite different from that of developing countries. The existing solutions cannot be readily applied to the traffic situation of developing countries. In this paper, we propose an architecture which addresses the challenges of real time traffic management of non-lane based and chaotic traffic of developing countries. The big data collected for traffic analysis can be used to provide predictive analysis and patterns to enable the Traffic Department to manage the traffic better.


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    Titel :

    CroTIS-Crowdsourcing Based Traffic Information System


    Beteiligte:


    Erscheinungsdatum :

    2013-06-01


    Format / Umfang :

    310008 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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