3165. A passion for Transportation Optimisation
Invited abstract in session TB-3: Young Women 4OR - 2, stream WISDOM - Women in OR.
Tuesday, 10:30-12:00Room: Esther Simpson 1.01
Authors (first author is the speaker)
| 1. | Yue Su
|
| Informatique, Université de Lille |
Abstract
My passion for transportation optimization began early and led me from China to France through multiple engineering degrees. During my master’s, I worked on transport network design and discovered the power of operations research (OR) in improving public transportation systems. This experience inspired my PhD at Centrale Supelec, where I focused on the Electric Autonomous Dial-a-Ride Problem (E-ADARP)—a timely challenge of rendering ride-sharing services more eco-friendly.
The E-ADARP involves scheduling electric autonomous vehicles (EAVs) to offer ride-sharing services under energy and routing constraints. I developed both heuristic and exact algorithms to solve single- and bi-objective variants, including a novel fragment-based approach and a branch-and-price algorithm. These methods led to a lot of new best-known solutions and revealed key insights into the trade-offs between operational efficiency and user satisfaction. I also had the opportunity to visit Johannes Kepler University Linz and publish my works in journals such as Transportation Research Part B.
After completing my PhD, I pursued a postdoc on integrating machine learning (ML) with OR for applications in revenue management. Since 2024, I’ve been an associate professor at the University of Lille, where I continue to explore the interaction between OR, ML, and on-demand mobilities. My goal is to develop efficient and real-time decision-support tools to further improve the efficiency of transportation systems.
Keywords
- Transportation
- Vehicle Routing
Status: accepted
Back to the list of papers