Abstract Future prediction is a fascinating topic for human endeavor and is identified as a critical tool in transportation management. Understanding an entire transportation network is more difficult than transportation on a single road. The main purpose of this effort is to provide a superior route with high safety level and support traffic managers in efficiently managing road network.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Applications of Deep Learning in Severity Prediction of Traffic Accidents


    Contributors:


    Publication date :

    2019-04-03


    Size :

    11 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Applications of Deep Learning in Severity Prediction of Traffic Accidents

    Sameen, Maher Ibrahim / Pradhan, Biswajeet / Shafri, H. Z. M. et al. | TIBKAT | 2019


    Applications of Deep Learning in Severity Prediction of Traffic Accidents

    Sameen, Maher Ibrahim / Pradhan, Biswajeet / Shafri, H. Z. M. et al. | TIBKAT | 2019


    Traffic Accidents Classification and Injury Severity Prediction

    Cuenca, Laura Garcia / Puertas, Enrique / Aliane, Nourdine et al. | IEEE | 2018


    Occupant Injury Severity Prediction in Road Traffic Accidents Using Machine Learning Techniques

    Khatavkar, Akshay / Sahu, Dilip / Kulkarni, Prasad et al. | SAE Technical Papers | 2024


    A deep learning based traffic crash severity prediction framework

    Rahim, Md Adilur / Hassan, Hany M. | Elsevier | 2021