In this paper, we address the problem of vehicle behavior assessment for road safety. We propose a solution that leverages the driver's smartphone, utilizing data from the phone's GPS to provide real-time assessments and the vehicle's On-Board Diagnostics (OBD) system to predict the vehicle's state. The solution's decision-making process uses a Recurrent Neural Network (RNN) for extracting behavior features of the vehicle and a hybrid RNN- Transformer based approach to predict the vehicle state. We introduce a ‘Danger-Level’ metric to assess the potential road risk posed by the vehicle. Our experimental results show that the agent was able to compute the ‘Danger-Level’ of the vehicle with an accuracy of 80 %. Additionally, the agent computes the future state of the vehicle with a minimal error of 0.207.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Assessing Vehicle Behavior for Road Safety


    Contributors:


    Publication date :

    2024-09-24


    Size :

    1272056 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Assessing the effects of inter-vehicle communication systems on road safety

    Chiara, B.D. / Deflorio, F. / Diwan, S. | Tema Archive | 2009


    Assessing the effects of inter-vehicle communication systems on road safety

    Dalla Chiara, B. / Deflorio, F. / Diwan, S. | IET | 2009


    Road vehicle safety devices

    European Patent Office | 2022

    Free access

    Road vehicle safety devices

    SIMON ROOD | European Patent Office | 2023

    Free access

    ROAD SAFETY VEHICLE WARNING DEVICE

    YANG TZU-CHENG / LU HUNG-CHUN / WU YU-CHIEN | European Patent Office | 2017

    Free access