Qiming YE

Qiming joined the Adaptive Mobility, Land-use and Infrastructure (AMIL) Team at the Singapore-ETH Centre (SEC) in February 2023. This research program explores the adaptive planning of transport infrastructure under uncertainty using AI-based technologies. This program is mainly funded by the National Research Foundation (NRF) in Singapore, and supported by partners from the National University of Singapore (NUS) and relevant state departments.

Before commencing this career, he was a PhD, TA, and PhD Rep (2019-2020) at the Centre for Transport Studies (CTS) at Imperial College London. He was co-supervised by Dr Panagiotis Angeloudis who directs the Transport Systems & Logistics Laboratory (TSL), and Dr Marc E J Stettler directing the Transport & Environment Laboratory (TEL) at Imperial.

His PhD research focuses on modelling urban street configurations for autonomous vehicle flows. Microscopic traffic modelling, intelligent transport systems, and adaptive and intelligent road infrastructure control are among his research interests.

He proposed hybrid models that embed metaheuristics (GA, PSO, SA) or reinforcement learning methods (DDPG, Q-learning, etc.) and integrate microscopic traffic simulations to approach research problems.

Specifically, his current research focuses on:

• Optimisation of the layout of curbside parking spaces in a large network.
• Dynamic dispatching algorithms for SAV PUDO operations in a large network.
• Reinforcement learning models for real-time road configuration for complex networks.
• Optimisation of the placement of charging points and assignment strategies for shared EV fleets.
• Optimisation of SAV fleet trajectories in shared spaces.

Qiming received his Bachelor's (2013) and Master's Degrees (2016) in urban planning from Tongji University, China. He also received an additional Master's Degree (2016) in urban planning and policy design from Politecnico di Milano, Italy.

Awards

• 2023 Best Research Paper Award for the TRB Urban Freight Transportation Committee
• 2016 Shanghai Excellent Graduate Award, Department of Education of Shanghai Municipality
• 2013 Academy Award of Excellent Graduate, Tongji University
• 2013 Cross-strait 20 Graduate Design Competition, 2nd prize
• 2010 East Asia Urban Design, Bronze Medal

Publications:

1. Q.Ye, Y.Feng, J.J.E. Macias, M.Stettler and P.Angeloudis, external page Adaptive Road Configurations for Improved Autonomous Vehicle-Pedestrian Interactions Using Reinforcement Learning, in IEEE Transactions on Intelligent Transportation Systems, 2022, doi: 10.1109/TITS.2022.3220110.
   
   
2. Q.Ye, Y.Feng, J.Qiu, M.Stettler and P.Angeloudis (2022). external page Approximate Optimum Curbside Utilisation for Pick-Up and Drop-Off (PUDO) and Parking Demands Using Reinforcement Learning, IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022, pp. 2628-2633, doi:10.1109/ITSC55140.2022.9922036.
   
   
3. Q.Ye, Y.Feng, E.Candela, J.Escribano-Macias, M.Stettler, P.Angeloudis (2022). external page Spatial-Temporal Flows-Adaptive Street Layout Control Using Reinforcement Learning, Sustainability, 14(1), p.107.
   
   
4. Q.Ye, S.Stebbins, Y,Feng, E.Candela, M.Stettler, P.Angeloudis (2020). external page Intelligent Management of On-street Parking Provision for the Autonomous Vehicles Era, IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2020. doi: 10.1109/ITSC45102.2020.9294527.
   
   
5. Q.Ye, Y.Feng, J.Han, M.Stettler, P.Angeloudis (2022). A Reinforcement Learning-based Adaptive Control Model for Future Street Planning: An Algorithm and A Case Study, Proceeding of 57th ISOCARP World Planning Congress, arXiv preprint arXiv:2112.05434.
   
   
6. Y.Liu, Q.Ye, Y.Feng, J. Escribano-Macias, P.Angeloudis (2021). Location-routing Optimisation for Urban Logistics Using Mobile Parcel Locker Based on Hybrid Q-Learning Algorithm, Transport Research Board (TRB) 2021. arXiv preprint arXiv:2110.15485 (2021).
   
   
7. Y.Liu, J. Escribano-Macias, K. Zhang, Q.Ye, P.Angeloudis (2022). Customer Behaviour Analysis for Coordinated Delivery Service Using Mobile Parcel Lockers and Autonomous Robots: A Congestion-Game Model, Transport Research Board (TRB) 2022 (Best Research Paper Award for the TRB Urban Freight Transportation Committee)
   
   
8. E.Anastasiadis, P.Angeloudis, D.Ainalis, Q.Ye, Y.P.Hsu, R.Karamanis, M.Stettler (2021). external page On the Selection of Charging Facility Locations for EV-Based Ride-Hailing Services: A Computational Case Study. Sustainability, 13(1), 168.
   
   
9. E.Anastasiadis, P.Angeloudis, D.Ainalis, Q.Ye, Y.P.Hsu, R.Karamanis, M.Stettler (2019). external page A bilevel optimisation model for the selection of parking and charging facilities for EV-based ride-hailing services, 8th Symposium of the European Association for Research in Transportation (hEART 2019)
   
   
10. Z.Wu, Y.Pan, Q.Ye, L.Kong (2016). external page The City Intelligence Quotient (City IQ) Evaluation System: Conception and Evaluation. Engineering, 2016, 2(2): 196-211. ISSN: 2095-8099
    
    
11. L.Wang, Q.Ye, X.Jiang (2015). external page Strategic Planning of Chicago Towards a Global City Region. Urban Planning International, 30(4): 34-40, ISSN: 1673-9493