ThisCrowdsensing chapter presents a crowdsensing based urban traffic monitoringUrban traffic monitoring system. Different from existing works that heavily rely on intrusive sensingSensing or full cooperation from probe vehicles, our system exploits the power of participatory sensingSensing and crowdsources the traffic sensingSensing tasks to bus ridersBus riders’ mobile phones. The bus ridersBus riders are information source providers and meanwhile major consumers of the final traffic output. The system takes public buses as dummy probes to detect road traffic conditions, and collects minimum set of cellular data together with some lightweight sensingSensing hints from the bus ridersBus riders’ mobile phones. Based on the crowdsourced data from participants, the system recovers the bus travel information and further derives the instant traffic conditions of roads covered by bus routes. The real-world experiments with a prototype implementation demonstrate the feasibility of our system, which achieves accurate and fine-grained traffic estimations with modest sensingSensing and computation overhead at the crowd.


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    Title :

    A Crowdsensing Based Traffic Monitoring Approach


    Additional title:

    SpringerBriefs Computer Sci.


    Contributors:
    Liu, Zhidan (author) / Wu, Kaishun (author)


    Publication date :

    2021-05-19


    Size :

    15 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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