Real-time road traffic information brings great convenience for drivers. Various road information acquisitions are enabled by recent mobile crowdsensing paradigm. However, the accuracy of information can not be guaranteed, and appropriate incentive mechanism is still unavailable. In this paper, we study the problem of extracting the actual road traffic information according to the reports from an amount of unknown contributors. To obtain the accurate road traffic result with high probability, we establish a reputation system to evaluate the reliability of each contributor, which takes both location and time deviation factors into account. We also design an incentive mechanism to elicit the truthful report of each qualified contributor. Furthermore, we improve the existing answer inference methods and derive the correct result in an efficient way. Extensive simulations are carried out to evaluate the proposed algorithms.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Crowdsensing-Based Consensus Incident Report for Road Traffic Acquisition


    Contributors:
    Wang, Xiong (author) / Zhang, Jinbei (author) / Tian, Xiaohua (author) / Gan, Xiaoying (author) / Guan, Yunfeng (author) / Wang, Xinbing (author)


    Publication date :

    2018-08-01


    Size :

    3102945 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    A Crowdsensing Based Traffic Monitoring Approach

    Liu, Zhidan / Wu, Kaishun | Springer Verlag | 2021


    Road Traffic Incident Detection Model Based on SMO

    Cong, Haozhe / Fang, Shouen / Guo, Jing | ASCE | 2009


    Road Traffic Incident Detection Model Based on SMO

    Cong, H. / Fang, S. / Guo, J. et al. | British Library Conference Proceedings | 2009


    URBAN TRAFFIC SPEED ESTIMATION METHOD BASED ON CROWDSENSING DATA

    HE SHIBO / ZHANG YINGQIAN / LI CHAO et al. | European Patent Office | 2024

    Free access

    Research of the road traffic incident characteristics

    Wang, Xiao-Yuan / Zhang, Kai-Wang / Yang, Xin-Yue | Tema Archive | 2005