PREDICTION OF PASSENGER FLOW IN PUBLIC RAILWAY TRANSPORTATION

• Author(s):

  Mr. Moorthy.K | Padma Sowgandhika.M | Praveen.S | Siva Prakash.S

• Keywords:

  Comma–Separated Values, Hue Separation Value, Long Short-Term Memory, Recurrent Neural Network, Integrated Development Environment, Support Vector Machines, Convolutional Neural Network.

• Abstract:

  Predicting Passenger Flow In Public Railway Transportation Is A Complex Task That Involves Analysing Various Factors, Such As The Time Of Day, The Day Of The Week, And The Season, As Well As Special Events And Holidays That May Affect Travel Patterns. Mac

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Other Details

• Paper id:

  IJSARTV9I360305

• Published in:

  Volume: 9 Issue: 3 March 2023

• Publication Date:

  2023-03-25

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