3 citations · 5 across the 10 of their papers we have counts for
10 papers
Reinforcement Learning and Operational Research: A Review of Methodological Integration and Research Directions
Yahan Lu, Dongyang Xia, Nursen Aydin +1
The growing demand for real-time, data-driven decision-making in complex and dynamic systems is placing increasing pressure on Operational Research (OR) methodologies. Sequential d…
Modular Autonomous Transit: From Vehicle Modularity to Deployment-Ready Transit Operations
Dongyang Xia, Shadi Sharif Azadeh
Audience: Tech companies such as NExT leadership; public transport operators; autonomous transit developers; charging partners; public authorities, and industrial partners consider…
T-STAR: A Context-Aware Transformer Framework for Short-Term Probabilistic Demand Forecasting in Dock-Based Shared Micro-Mobility
Jingyi Cheng, Gonçalo Homem de Almeida Correia, Oded Cats +1
Reliable short-term demand forecasting is essential for managing shared micro-mobility services and ensuring responsive, user-centered operations. This study introduces T-STAR (Two…
Robust charging station location and routing-scheduling for electric modular autonomous units
Dongyang Xia, Lixing Yang, Yahan Lu +1
Problem definition: Motivated by global electrification targets and the advent of electric modular autonomous units (E-MAUs), this paper addresses a robust charging station locatio…
Dynamic Preference-based Multi-modal Trip Planning of Public Transport and Shared Mobility
Yimeng Zhang, Oded Cats, Shadi Sharif Azadeh
The shift from private vehicles to public and shared transport is crucial to reducing emissions and meeting climate targets. Consequently, there is an urgent need to develop a mult…
Integrated demand-side management and timetabling for an urban rail transit line: A Benders decomposition approach
Lixing Yang, Yahan Lu, Jiateng Yin +1
The intelligent upgrading of metropolitan rail transit systems has made it feasible to implement demand-side management policies that integrate multiple operational strategies in p…
A Short-Term Predict-Then-Cluster Framework for Meal Delivery Services
Jingyi Cheng, Shadi Sharif Azadeh
Micro-delivery services offer promising solutions for on-demand city logistics, but their success relies on efficient real-time delivery operations and fleet management. On-demand…
Designing a Robust and Cost-Efficient Electrified Bus Network with Sparse Energy Consumption Data
Sara Momen, Yousef Maknoon, Bart van Arem +1
This paper addresses the challenges of charging infrastructure design (CID) for electrified public transport networks using Battery Electric Buses (BEBs) under conditions of sparse…
Real-Time Integrated Dispatching and Idle Fleet Steering with Deep Reinforcement Learning for A Meal Delivery Platform
Jingyi Cheng, Shadi Sharif Azadeh
To achieve high service quality and profitability, meal delivery platforms like Uber Eats and Grubhub must strategically operate their fleets to ensure timely deliveries for curren…
Integrated timetabling and scheduling of modular autonomous vehicles under uncertainty
Dongyang Xia, Jihui Ma, Shadi Sharif Azadeh
Addressing the Integrated Timetabling and Vehicle Scheduling (TTVS) problem is important for improving transit operations. Recently, the emerging modular autonomous vehicles compos…