Section: New Results

Platoons Formation for autonomous vehicles redistribution

Participants : Mohamed Elhadad, Jean-Marc Lasgouttes, Ilias Xydias.

As part of the VALET ANR project, we aim to optimize platoon formation for vehicle retrieval, where parked vehicles are collected and guided by a fleet manager in a given area. Each platoon follows an optimized route to collect and guide the parked vehicles to their final destinations. The Multi-Platoons Parked Vehicles Collection consists in minimizing the total travel duration, total travel distance, the number of platoons, under constraints of battery level. After a linear formal definition of the problem, we show how to use a multi-objective version of genetic algorithms, more precisely the NSGA-II algorithm, to solve this multi-criteria optimization problem.

This is a work in progress.