Railway system all over the world faces many issues in detecting train delay. Train delay is the major issue in railway networks throughout the world. There are so many factors like bad weather, exogenous data, railway asset condition, infrastructure conflicts, human errors, etc., which are the main causes for delay in train arrival. According to the (TOI) Time of India newspaper, in India, several millions of people depend on the train for their travel, which increases year by year. But in India, most of the train does not run as per the schedule because of few railway tracks and poor signaling. This states that traveler gets delayed to their destination. One of the difficulties of predicting train delay is the unpredictability and uncertainty of times in railway traffic. This paper aims to survey many challenges and issues faced by train delay prediction systems in India, USA, China, German, Dutch, etc. Several methods and algorithms related to the prediction system survey know their efficiency with various kinds of datasets regarding that particular region. This survey is much efficient for the upcoming researcher to research this recent topic of train delay prediction system.


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    Titel :

    Prediction of Train Delay System in Indian Railways Using Machine Learning Techniques: Survey


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Gupta, Deepak (Herausgeber:in) / Goswami, Rajat Subhra (Herausgeber:in) / Banerjee, Subhasish (Herausgeber:in) / Tanveer, M. (Herausgeber:in) / Pachori, Ram Bilas (Herausgeber:in) / Singh, Ajay (Autor:in) / Kumar, D. Rajesh (Autor:in) / Sharma, Rahul Kumar (Autor:in)


    Erscheinungsdatum :

    02.09.2022


    Format / Umfang :

    17 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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