Traffic lights are very often equipped with cameras for smart disengagement of crossings. Surveillance cameras are placed in many key-points of the city's mobility for security purposes, such as neighbourhood entrances and parking areas. The idea of this study is to use this in place infrastructure, already installed and maintained by mobility stakeholders, without additional hardware costs. Combining these mobile and fixed sensors we created a Wireless Sensor Network and built on it a Geographic Information System (GIS) platform to manage and monitor urban mobility. We extended this integrated system with an interface to Simulation of Urban MObility (SUMO), an open-source microscopic and continuous road traffic simulation package. Input files of simulator are generated by the system from real mobility data. In this way our system manages and monitors urban mobility in real-time providing an useful instrument for planning the interventions mobility plans / infrastructures, being able to simulate the future state and further verify the effectiveness of what is realized.


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    Titel :

    An integrated mobility system using real-time data for traffic simulation


    Beteiligte:


    Erscheinungsdatum :

    2016-08-01


    Format / Umfang :

    1091024 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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