Highlights The ML and AI methods used to address transportation safety problems are reviewed. Methods related to Artificial Neural Networks are the most promising. Apart from incident detection, all other problems addressed are mode-specific. Knowledge could be transferred from the safety field of AVs to the other modes.

    Abstract Recent research in transport safety focuses on the processing of large amounts of available data by means of intelligent systems, in order to decrease the number of accidents for transportation users. Several Machine Learning (ML) and Artificial Intelligence (AI) applications have been developed to address safety problems and improve efficiency of transportation systems. However exchange of knowledge between transport modes has been limited. This paper reviews the ML and AI methods used in different transport modes (road, rail, maritime and aviation) to address safety problems, in order to identify good practices and experiences that can be transferable between transport modes. The methods examined include statistical and econometric methods, algorithmic approaches, classification and clustering methods, artificial neural networks (ANN) as well as optimization and dimension reduction techniques. Our research reveals the increasing interest of transportation researchers and practitioners in AI applications for crash prediction, incident/failure detection, pattern identification, driver/operator or route assistance, as well as optimization problems. The most popular and efficient methods used in all transport modes are ANN, SVM, Hidden Markov Models and Bayesian models. The type of the analytical technique is mainly driven by the purpose of the safety analysis performed. Finally, a wider variety of AI and ML methodologies is observed in road transport mode, which also appears to concentrate a higher, and constantly increasing, number of studies compared to the other modes.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    The usefulness of artificial intelligence for safety assessment of different transport modes


    Beteiligte:


    Erscheinungsdatum :

    2023-03-13




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Artificial Intelligence for Air Safety

    Pillai, Rajesh Gandadharan / Devrakhyani, Poonam / Shetty, Sathvik et al. | Springer Verlag | 2020


    Artificial intelligence logistics transport vehicle

    LI XIAOKANG / WU ZIYUE / WANG ZHOUYUE et al. | Europäisches Patentamt | 2021

    Freier Zugriff

    Artificial intelligence logistics transport vehicle

    ZHANG WEIJUN | Europäisches Patentamt | 2021

    Freier Zugriff

    Artificial intelligence-based safety inspection equipment

    DENG LU | Europäisches Patentamt | 2021

    Freier Zugriff