An illegal parking detection system is designed based on scooters' trajectories to identify illegally parked vehicles on the roads. If the trajectories of an area contain more irregular lane switching behavior, the possibility of illegal parking in the area becomes higher. The system has been implemented successfully with the Simulation of Urban MObility (SUMO) simulator. The simulation results show that the system achieves 90.28% of accuracy for detecting illegally parked vehicles.


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    Title :

    Illegal Parking Detection System Based on Scooters' Trajectories


    Contributors:


    Publication date :

    2021-12-10


    Size :

    802576 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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