collaborators

6 papers

math.OC2026

Implementation-Based Incentive Design for Autonomous Mobility-on-Demand and Transit Systems

Xinling Li, Runyu Zhang, Gioele Zardini

Achieving a socially desirable operating point for a multimodal transportation system is challenging when Autonomous Mobility-on-Demand (AMoD) and Public Transit (PT) operators pur…

cs.RO2025

Reproducibility in the Control of Autonomous Mobility-on-Demand Systems

Xinling Li, Meshal Alharbi, Daniele Gammelli +7

Autonomous Mobility-on-Demand (AMoD) systems, powered by advances in robotics, control, and Machine Learning (ML), offer a promising paradigm for future urban transportation. AMoD…

math.OC2025

Robo-Taxi Fleet Coordination with Accelerated High-Capacity Ridepooling

Xinling Li, Daniele Gammelli, Alex Wallar +2

Rapid urbanization has led to a surge of customizable mobility demand in urban areas, which makes on-demand services increasingly popular. On-demand services are flexible while red…

math.OC2025

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems

Xinling Li, Xiaotong Guo, Qingyi Wang +2

Autonomous Mobility-on-Demand (AMoD) services offer an opportunity for improving passenger service while reducing pollution and energy consumption through effective vehicle coordin…

eess.SY2025

Maximal Compatibility Matching for Preference-Aware Ride-Hailing Systems

Avalpreet Singh Brar, Rong Su, Jaskaranveer Kaur +2

This paper presents the Maximal Compatibility Matching (MCM) framework, a novel assignment strategy for ride-hailing systems that explicitly incorporates passenger comfort into the…

cs.CY2025

User-Friendly Game-Theoretic Modeling and Analysis of Multi-Modal Transportation Systems

Margarita Zambrano, Xinling Li, Riccardo Fiorista +1

The evolution of existing transportation systems, mainly driven by urbanization and increased availability of mobility options, such as private, profit-maximizing ride-hailing comp…