A bilevel optimisation model for the selection of parking and charging facilities for EV-based ride-hailing services

Conference paper : 8th Symposium of the European Association for Research in Transportation (hEART 2019)


Mobility as a Service (MaaS) and Park & Ride (P&R) initiatives are gaining ground around the world, as remedial measures against traffic congestion. Such schemes introduce major changes in the interaction amongst travellers, transport infrastructure and public transport schemes. It is, therefore, necessary that the current infrastructure undergoes an integration so that the level of convenience through the transportation means is maintained. Furthermore, their introduction has coincided with the increasing adoption of Electric Vehicles (EVs), which although more environmentally friendly, suffer from decreased range compared to conventional alternatives. However, current research focuses on new technologies that will allow the storage of larger amounts of energy in EV batteries. To address this gap in literature, in this paper we propose a bilevel optimization model for the Charging Facility Placement problem (CFP), implemented from the perspective of TNC operators.

Lefteris Anastasiadis
Post-Doctoral Researcher

Researcher in Algorithmic Mechanism Design, currently focusing on the design of autonomous vehicle fleet platforms

Panagiotis Angeloudis
Associate Professor

Associate Professor in Transport Systems and Logistics, with a passion for CS, OR and their role in transforming transportation.

Qiming Ye
PhD Student

PhD student focusing on the impact of autonomous vehicles to future cities

Leo Hsu
Post-Doctoral Researcher

Recently obtained PhD from the Dyson School of Design Engineering. Currently focusing on the Demand Responsive Transport Systems.