Update Vehicle Traffic Routing Using Ant Colony Optimization Algorithm - Das, Rajib;Gharami, Tapash;Molla, Shadat
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Update Vehicle Traffic Routing Using Ant Colony Optimization Algorithm is to implement the solution of combinatorial problem, based on the heuristic behavior of ant. This paper focuses on a highly developed solution procedure using ACO algorithm. This helps to solve routing problems easily. It also reflects the method considering flow, distance, cost, and emergency etc. Here, a new algorithm named UVTR (Update Vehicle Traffic Routing) is represented to overcome the complexity of the previous algorithm. It yields the typical process for removing traffic problems in case of flow, distance, cost…mehr

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Produktbeschreibung
Update Vehicle Traffic Routing Using Ant Colony Optimization Algorithm is to implement the solution of combinatorial problem, based on the heuristic behavior of ant. This paper focuses on a highly developed solution procedure using ACO algorithm. This helps to solve routing problems easily. It also reflects the method considering flow, distance, cost, and emergency etc. Here, a new algorithm named UVTR (Update Vehicle Traffic Routing) is represented to overcome the complexity of the previous algorithm. It yields the typical process for removing traffic problems in case of flow, distance, cost etc. This formulation is represented with systematic rules based case study for the Dhaka City.
Autorenporträt
Mr. Rajib Das obtained his B.sc degree in Computer Science and Engineering in 2011.Then he has worked in his own university in a faculty project in the field of Disaster Management, post of Assistant Programmer.It is his group thesis.