The security travel of freight vehicles is of high societal concern and is the key issue for urban managers to effectively supervise and assess the possible social security risks. With continuous improvements in motion-based technology, the trajectories of freight vehicles are readily available, whose unusual changes may indicate hidden urban risks. Moreover, the increasing high spatial and temporal resolution of trajectories provides the opportunity for the real-time recognition of the abnormal or risky vehicle motion. However, the existing researches mainly focus on the spatial anomaly detection, and there are few researches on the real-time temporal anomaly detection. In this paper, a grid-based algorithm, which combines the spatial and temporal anomaly detection, is proposed for tracing the risk of urban freight vehicles trajectory by considering local temporal window. The travel time probability distribution of vehicle historical trajectory is analyzed to meet the time complexity requirements of real-time anomaly calculation. The developed methodology is applied to a case study in Beijing to demonstrate its accuracy and effectiveness.


    Access

    Download


    Export, share and cite



    Title :

    Grid-Based Anomaly Detection of Freight Vehicle Trajectory considering Local Temporal Window


    Contributors:
    Zixian Zhang (author) / Geqi Qi (author) / Avishai (Avi) Ceder (author) / Wei Guan (author) / Rongge Guo (author) / Zhenlin Wei (author)


    Publication date :

    2021




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Similarity based vehicle trajectory clustering and anomaly detection

    Zhouyu Fu, / Weiming Hu, / Tieniu Tan, | IEEE | 2005


    Similarity Based Vehicle Trajectory Clustering and Anomaly Detection

    Fu, Z. / Hu, W. / Tan, T. | British Library Conference Proceedings | 2005


    Trajectory anomaly detection system and online trajectory anomaly detection method

    LI WENBIN / YAO DI / BI JINGPING | European Patent Office | 2024

    Free access

    Optimization of air freight network considering the time window of customer

    Wang, Songyi / Tao, Fengming / Shi, Yuhe | IEEE | 2018


    Detecting Taxi Trajectory Anomaly Based on Spatio-Temporal Relations

    Qian, Shiyou / Cheng, Bin / Cao, Jian et al. | IEEE | 2022