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October 26, 2025 to October 30, 2025 - Barcelona, Spain
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ThinkMind // MOBILITY 2015, The Fifth International Conference on Mobile Services, Resources, and Users // View article mobility_2015_2_10_70007
An Ant Colony Optimization Solution to the Optimum Travel Path Determination Problem in VANETS: A NetLogo Modelling Approach
 Authors:
Kponyo Jerry
Kuang Yujun
Opare Kwasi
Nwizege Kenneth
Ahmed Abdul-Rahman
Koumadi Koudjo Keywords: Intelligent Transport Systems (ITS); Vehicular Ad hoc Networks (VANETS); Swarm Intelligence (SI); Ant Colony Optimization (ACO); Dynamic Travel Path Optimization System( DTPOS) Abstract:
A Dynamic Travel Path Optimization System (DTPOS) based on Ant Colony Optimization (ACO) for the prediction of the best path to a given destination is presented. The system is modeled in a multi-agent multi-purpose framework in NetLogo and experiments conducted on 100 test vehicles under different traffic scenarios. The test vehicles are released from a fixed location in the simulation environment and given a predefined destination. The route taken by the vehicles to reach the destination gives a measure of the intelligence in the system. Two variations of the system, DTPOS with ACO (DTPOS+ACO) and DTPOS without ACO (DTPOS-ACO) are investigated to establish the effect of ACO on the solution. For every vehicle which successfully makes it to the destination, the mean travel time is recorded. The results have shown that at all traffic densities the mean travel time of vehicles in DTPOS+ACO was always lower than those for DTPOS-ACO. Also it was shown that for the same percentage of vehicles arriving at the destination, DTPOS+ACO vehicles took less time than DTPOS-ACO vehicles. Pages: 24 to 30 Copyright: Copyright (c) IARIA, 2015 Publication date: June 21, 2015 Published in: conference ISSN: 2308-3468 ISBN: 978-1-61208-417-6 Location: Brussels, Belgium Dates: from June 21, 2015 to June 26, 2016
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