Shared mobility has emerged as a sustainable alternative to both private transportation and
traditional public transport, promising to reduce the number of private vehicles on roads …

Urban flow prediction is a spatio-temporal modelling task that estimates the throughput of
transportation services like buses, taxis, and ride-sharing, where data-driven models have …

The mining of diverse patterns from bike flow has attracted widespread interest from
researchers and practitioners. Prior arts concentrate on forecasting the flow evolution from …

k-closest pair (KCP for short) search is a fundamental problem in database research. Given
a set of d-dimensional streaming data S, KCP search aims to retrieve k pairs with the …

As a novel and economical transportation way, ride-sharing has attracted more and more
passengers and drivers to participate. How to match passengers with drivers efficiently has …

Ride-hailing has become a popular service in recent years. For each ride-hailing request,
after the platform determines the fare for the passenger and the commission for the driver, it …

Hub-oriented mobility services have gained great developments in recent years, enabling
riders to simultaneously call vehicles from multiple mobility-supply companies (agents) on a …