Update Vehicle Traffic Routing Using Ant Colony Optimization Algorithm

Journal Title: International Journal on Computer Science and Engineering - Year 2012, Vol 4, Issue 6

Abstract

In this paper, the authors want 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.

Authors and Affiliations

Mohammad Jamal Hossain , Golam Md. Muradul Bashir , Md. Rejaul Karim , Md. Mehedi Hasan

Keywords

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  • EP ID EP119663
  • DOI -
  • Views 114
  • Downloads 0

How To Cite

Mohammad Jamal Hossain, Golam Md. Muradul Bashir, Md. Rejaul Karim, Md. Mehedi Hasan (2012). Update Vehicle Traffic Routing Using Ant Colony Optimization Algorithm. International Journal on Computer Science and Engineering, 4(6), 950-956. https://europub.co.uk/articles/-A-119663