The integrity of motor vehicle travel trajectory is widely used in macro traffic management, vehicle travel prediction and traffic problem analysis[1]. However, in reality, due to the lack of transportation equipment and the complexity of the road, it is difficult to obtain a complete vehicle travel trajectory. Based on massive bayonet data, aiming at the phenomenon of incomplete vehicle travel trajectory, combined with SUMO (traffic system simulation software) platform, this paper establishes a dynamic routing algorithm model based on Astar [2] and Dijkstra [3], The index data combined with bayonet data is introduced into the model to increase the practicability of the model. Finally, the accuracy of the model is verified through the comparison of actual cases. Provide reliable data support for further research on traffic travel scheme.


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    Title :

    Research on vehicle travel trajectory reconstruction method based on massive bayonet data


    Contributors:
    Li, Jun (author)

    Conference:

    2nd International Conference on Internet of Things and Smart City (IoTSC 2022) ; 2022 ; Xiamen,China


    Published in:

    Proc. SPIE ; 12249


    Publication date :

    2022-05-06





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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