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Platoon Route Optimization for Picking up Automated Vehicles in an Urban Network

Abstract : In this paper, we consider the problem of vehicle collection assisted by a fleet manager where parked vehicles are collected and guided by fleet managers. Each platoon follows a calculated and optimized route to collect and guide the parked vehicles to their final destinations. The Platoon Route Optimization for Picking up Automated Vehicles problem, called PROPAV, consists in minimizing the collection duration, the number of platoons and the total energy required by the platoon leaders. We propose a formal definition of PROPAV as an integer linear programming problem, and then we show how to use the Non-dominated Sorting Genetic Algorithm II (NSGA-II), to deal with this multi-criteria optimization problem. Results in various configurations are presented to demonstrate the capabilities of NSGA-II to provide well-distributed Pareto-front solutions.
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Contributor : Jean-Marc Lasgouttes Connect in order to contact the contributor
Submitted on : Monday, September 24, 2018 - 5:19:43 PM
Last modification on : Wednesday, June 8, 2022 - 12:50:05 PM
Long-term archiving on: : Tuesday, December 25, 2018 - 4:16:16 PM


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  • HAL Id : hal-01880388, version 1



Mohamed Hadded, Jean-Marc Lasgouttes, Fawzi Nashashibi, Ilias Xydias. Platoon Route Optimization for Picking up Automated Vehicles in an Urban Network. ITSC 2018 - 21st IEEE International Conference on Intelligent Transportation Systems, Nov 2018, Maui, United States. ⟨hal-01880388⟩



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