• DocumentCode
    3738154
  • Title

    Software-based bus dispatching system for Epifanio Delos Santos Avenue

  • Author

    Ramon Christhoper DJ. Intal;Elmer P. Dadios;Alexis M. Fillone

  • Author_Institution
    Gokongwei College of Engineering, De La Salle University Manila, Taft Ave., Philippines
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this study a Software-based Artificial Intelligence (AI) System and Neural Network (NN) System were combined to achieve a highly responsive and a self-learning machine capable in predicting the dispatch time and scheduling of buses in Epifanio Delos Santos Avenue (EDSA) which is a congested road in Metro Manila. The AI system is a software-based program that can learn through data gathering and use its pre-defined rules. The NN system used the learned data generated by the AI system to do a quick determination of bus schedule.
  • Keywords
    "Artificial intelligence","Schedules","Artificial neural networks","Biological neural networks","Training data","Testing"
  • Publisher
    ieee
  • Conference_Titel
    Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/HNICEM.2015.7393238
  • Filename
    7393238
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3738154