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Artificial Intelligence Approach of Optimal Route Selection in Telematics

By Muneer-Ul-Haque, Mohammad S. Raunak, M Asifur Rahim, Tashfin Delwar and Abul L Haque


This paper proposes a novel Genetic Algorithm based Artificial Intelligent approach to solve a variation of traveling salesperson problem. The task is to find the least congested path(s) between two location vertices. In real world, the congestion or traffic data between two location vertices is very dynamic. This problem becomes particularly interesting in the field of location services, or Telematics, where one activity is to use real time spatial data to suggest optimal route for its subscribers. A web based software prototype is developed using proprietary components that implements the suggested Genetic Algorithm engine to analyze and confirm the validity of the new approach. A simulation of Dhaka’s dynamic and unpredictable traffic congestion scenario has been used in the prototype

Year: 2009
OAI identifier: oai:CiteSeerX.psu:
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