Intelligent Management of On-street Parking Provision for the Autonomous Vehicles Era. - Qiming Ye; Simon M. Stebbins; Yuxiang Feng; Eduardo Candela; Marc Stettler; Panagiotis Angeloudis (ITSC, 2020)

Demand Forecasting of Online Car-Hailing With Stacking Ensemble Learning Approach and Large-Scale Datasets. - Yuming Jin; Xiaofei Ye; Qiming Ye; Tao Wang 068; Jun Cheng 005; Xingchen Yan (IEEE Access, 2020)

Short-Term Prediction of Available Parking Space Based on Machine Learning Approaches. - Xiaofei Ye; Jinfen Wang; Tao Wang 068; Xingchen Yan; Qiming Ye; Jun Chen 022 (IEEE Access, 2020)

Location-routing Optimisation for Urban Logistics Using Mobile Parcel Locker Based on Hybrid Q-Learning Algorithm. - Yubin Liu; Qiming Ye; Yuxiang Feng; Jose Escribano Macias; Panagiotis Angeloudis (CoRR, 2021)

A Reinforcement Learning-based Adaptive Control Model for Future Street Planning, An Algorithm and A Case Study. - Qiming Ye; Yuxiang Feng; Jing Han; Marc Stettler; Panagiotis Angeloudis (CoRR, 2021)

Approximate Optimum Curbside Utilisation for Pick-Up and Drop-Off (PUDO) and Parking Demands Using Reinforcement Learning. - Qiming Ye; Yuxiang Feng; Jingshuo Qiu; Marc Stettler; Panagiotis Angeloudis (ITSC, 2022)

Location-Routing Planning for Last-Mile Deliveries Using Mobile Parcel Lockers: A Hybrid Q-Learning Network Approach. - Yubin Liu; Qiming Ye; Jose Escribano Macias; Yuxiang Feng; Panagiotis Angeloudis (CoRR, 2022)

Driving Style Classification Using Deep Temporal Clustering with Enhanced Explainability. - Yuxiang Feng; Qiming Ye; Fahmy Adan; Luís Marques 002; Panagiotis Angeloudis (ITSC, 2023)

Adaptive Road Configurations for Improved Autonomous Vehicle-Pedestrian Interactions Using Reinforcement Learning. - Qiming Ye; Yuxiang Feng; Jose Javier Escribano Macias; Marc Stettler; Panagiotis Angeloudis (IEEE Trans. Intell. Transp. Syst., 2023)