Timely detection of traffic events is of upmost importance in contributing towards traffic safety and ease of commute. A spatial mobile crowdsourcing framework is proposed, enabling road users to report traffic events such as accidents, traffic rule violation, bad road and environment conditions through their mobile devices using images, videos and mobile sensor data. The framework is designed as a decentralized application over blockchain and makes use of interplanetary file system for storage. As transportation infrastructures like CCTV and road side units become increasingly intelligent over time, they are expected to detect traffic events like accidents and traffic rule violations at the edge using machine learning techniques without human intervention. Development and training of traffic event detection models at the edge require training the system using labelled training instances. Crowdsourcing is proposed as a means of collecting training data and validation of event during the learning phase.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Traffic Event Reporting Framework Using Mobile Crowdsourcing and Blockchain


    Weitere Titelangaben:

    Lecture Notes on Data Engineering and Communications Technologies


    Beteiligte:
    Pandian, A. Pasumpon (Herausgeber:in) / Fernando, Xavier (Herausgeber:in) / Haoxiang, Wang (Herausgeber:in) / Philip, Abin Oommen (Autor:in) / Saravanaguru, RA. K. (Autor:in) / Abhay, P. A. (Autor:in)


    Erscheinungsdatum :

    22.05.2022


    Format / Umfang :

    22 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Traffic event automatic reporting device

    Europäisches Patentamt | 2021

    Freier Zugriff

    Traffic event automatic reporting device

    KANG SEOG GEUN | Europäisches Patentamt | 2020

    Freier Zugriff

    Crowdsourcing Autonomous Traffic Simulation

    Wang, Hua / Zhao, Wenshan / Deng, Zhigang et al. | ArXiv | 2021

    Freier Zugriff

    CroTIS-Crowdsourcing Based Traffic Information System

    Roopa, T. / Iyer, Anantharaman Narayana / Rangaswamy, Shanta | IEEE | 2013


    Reputation Based Traffic Event Validation and Vehicle Authentication using Blockchain Technology

    Al-Ali, Muhammed Samir / Al-Mohammed, Hasan Abbas / Alkaeed, Mahdi | IEEE | 2020