Railways have always been one of the fastest and the most affordable means of transport for the common man in India. Due to various reasons like lack of infrastructure, the high rate of growth of Indian population, etc. the trains in India get delayed causing inconvenience to the general public. Moreover the festivals also cause overcrowding resulting in further delay. So the paper aims to analyze the real-time data collected from the Indian railways regional office and understand the predictors causing the delay. The paper also aims to predict if the train will delay using k-nearest neighbor, decision trees, logistic regression and random forest.


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    Title :

    Application of Machine Learning Algorithms to Real-Time Indian Railways Data for Delay Prediction


    Additional title:

    Lect. Notes in Networks, Syst.


    Contributors:

    Published in:

    Data Science and Security ; Chapter : 31 ; 357-364


    Publication date :

    2022-07-02


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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