Ride hailing is a widespread shared mobility application where the central issue is to assign
taxi requests to drivers with various objectives. Despite extensive research on task …

Learning based order dispatching has witnessed tremendous success in ride hailing.
However, the success halts within individual ride hailing platforms because sharing raw …

Due to the potential to reduce energy consumption and greenhouse gas emission, electric
vehicles have been widely adopted in ride-hailing services Besides the frequently …

Ride hailing has become prevailing. Central in ride hailing platforms is taxi order
dispatching which involves recommending a suitable driver for each order. Previous works …

Matching is one of the most fundamental and broadly applicable problems across many
domains. In these diverse real-world applications, there is often a degree of uncertainty in …

The core issue in ridesharing is designing reasonable algorithms to match drivers and
passengers. The ridesharing matching problem, influenced by various constraints such as …

Task assignment is the fundamental problem of crowdsourcing, which addresses the
matching between service providers and demanders in urban services. As crowdsourcing …

Noise perturbation introduced by differential privacy (DP) could degrade the quality of
essential services like dynamic pricing and ride-matching in ride-on-demand (RoD) …

Ridesharing platforms such as Uber, Lyft, and DiDi have grown in popularity due to their on-
demand availability, ease of use, and commute cost reductions, among other benefits …

In the online minimum cost matching problem, there are n servers and, at each of n time
steps, a request arrives and must be irrevocably matched to a server that has not yet been …