Fault Identification using Varying Weighted Sum Method in Proposed Multi Agent based Traffic Regulation and Automation System (MATRAS)

نویسندگان

  • Rajdeep Chatterjee
  • Deep Mukherjee
  • Saroj Kausik
  • Shibakali Gupta
  • Sripati Mukhopadhyay
  • Xiaojun Shen
  • F. P. Maturana
  • P. Tichy
  • P. Slechta
  • F. Discenzo
  • R. J. Staron
  • M. C. Choy
  • D. Srinivasan
  • R. L. Cheu
چکیده

MATRAS is a newly proposed traffic monitoring and controlling model based on the Multi-Agent System. Indian Railways has a huge, robust and extremely complex network which is the largest in the World. But we are still practicing very traditional approaches in the Indian Railways, which requires frequent human interventions. As a result, any sort of mistake or deliberation could lead us to a fatal situation. The new MATRAS which is based on the Multi-Agent System is developed in such a way that it can easily be fitted into the current Indian Railway System. It not only automates the system and in turn eliminates human intervention to a certain level of the organizational hierarchy, but also takes the necessary actions voluntarily in order to run the system properly. Varying Weighted Sum method is also introduced for fault identification in the system.

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تاریخ انتشار 2013