6 papers
Mean-Field Control of Adherence in Participation-Coupled Vehicle Rebalancing Systems
Avalpreet Singh Brar, Rong Su, Jaskaranveer Kaur +1
Human driver participation is a critical source of uncertainty in Mobility-on-Demand (MoD) rebalancing. Drivers follow platform recommendations probabilistically, and their willing…
Wise Goose Chase: A Predictive Path Planning Algorithm for Dynamic Rebalancing in Ride-Hailing Systems
Avalpreet Singh Brar, Rong Su, Christos G. Cassandras +1
Traditional rebalancing methods in ride-hailing systems direct idle drivers to fixed destinations, overlooking the fact that ride allocations frequently occur while cruising. This…
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…
Vehicle Rebalancing Under Adherence Uncertainty
Avalpreet Singh Brar, Rong Su, Christos G. Cassandras +3
Ride-hailing platforms frequently face spatiotemporal supply-demand imbalances caused by uneven passenger demand and decentralized driver decision-making. Existing vehicle rebalanc…
Integrated User Matching and Pricing in Round-Trip Car-Sharing
Avalpreet Singh Brar, Rong Su, Gioele Zardini +1
Traditional round-trip car rental systems mandate users to return vehicles to their point of origin, limiting the system adaptability to meet diverse mobility demands. This constra…
Why Studying Cut-ins? Comparing Cut-ins and Other Lane Changes Based on Naturalistic Driving Data
Yun Lu, Dejiang Zheng, Rong Su +3
Extensive research has been conducted to explore vehicle lane changes, while the study on cut-ins has not received sufficient attention. The existing studies have not addressed the…