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- W2893370947 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." @default.
- W2893370947 created "2018-10-05" @default.
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- W2893370947 date "2018-11-01" @default.
- W2893370947 modified "2023-09-27" @default.
- W2893370947 title "Platoon Route Optimization for Picking up Automated Vehicles in an Urban Network" @default.
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- W2893370947 doi "https://doi.org/10.1109/itsc.2018.8569809" @default.
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