Multiagent based algorithmic approach for fast response in railway disaster handling

• Main Authors: DALAPATI, Poulami, SINGH, Arambam James, DUTTA, Animesh
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Disaster management; Distributed systems; Multi agent system; Optimization; Systems Architecture; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/3795; https://ink.library.smu.edu.sg/context/sis_research/article/4797/viewcontent/07397378.pdf
• Institution: Singapore Management University

Disaster management in railway network is an important issue. It requires to minimize negative impact and also fast, efficient recovery from the disturbances. The main challenge here is that, the effect of inconvenience spreads out very fast in time and space. It takes noticeable amount of time to get back everything in the previous situation. This paper proposes a multi agent based algorithmic approach for disaster handling in Railway Network. This takes care of fast response to get total number of affected trains in a fast and efficient manner. We propose few algorithms to handle this situation and simulate it using JADE (Java Agent Development Framework) platform. Finally we take a case study and compare our proposed method with an existing manual technique.