The Bi-objective Electric Autonomous Dial-A-Ride Problem
Yue Su  1@  , Sophie Parragh  2@  , Nicolas Dupin  3@  , Jakob Puchinger  4@  
1 : Laboratoire Génie Industriel
CentraleSupélec, Université Paris-Saclay
2 : Johannes Kepler University Linz
3 : Laboratoire dÉtudes et de Recherche en Informatique dÁngers
Université d'Angers, Université d'Angers : EA2645
4 : Laboratoire Génie Industriel - EA 2606  (LGI)
Ecole Centrale Paris
Ecole Centrale Paris Grande Voie des Vignes 92295 Chatenay-Malabry -  France

The Electric Autonomous Dial-A-Ride Problem (E-ADARP) consists in scheduling a fleet of Electric Autonomous Vehicles (EAVs) to provide ride-sharing services for users specifying their origins and destinations. In this work, we emphasize the conflicting interests of service providers and users in the objective function of the E-ADARP and investigate the Bi-objective E-ADARP (BO-EADARP). The two objectives of the BO-EADARP are the total travel time of all vehicles and the total excess user ride time of all users. We first embed a column generation approach into the Dichotomic method to calculate all extreme supported solutions. To obtain non-supported solutions, we apply an epsilon-constraint-based approach. Our preliminary results show that the total excess user ride time can be reduced significantly with only a slight increase in total travel time. This finding offers practical interest for service providers to largely improve the service quality at a slight operational cost increase.


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