With the rapid development and popularization of mobile and wireless communication
technologies, ridesourcing companies have been able to leverage internet-based platforms …

With the development of information technique and wireless communication, a vast number
of taxis' and ride-sharing cars' trajectory data that provide a rich and detailed source to study …

Autonomous vehicles, electrification, and ride-sharing appear to be the next big change in
the field of mobility. It can lead to safer roads, less congestion, and reduced parking. In this …

In this paper, we study how to model taxi drivers' behavior and geographical information for
an interesting and challenging task: the next destination prediction in a taxi journey …

Ensuring the resiliency of critical infrastructures is essential in modern society, but much of
the deployed infrastructure has yet to fully leverage modern technical developments. This …

Fleet operators rely on forecasts of future user requests to reposition empty vehicles and
efficiently operate their vehicle fleets. In the context of an on-demand shared-use …

The sharing economy, ie, the cooperative consumption of goods and services offered by
private households or companies via online market places, gains more and more attention …

Through smartphone apps, drivers and passengers can dynamically enter and leave ride-
hailing platforms. As a result, ride-pooling is challenging due to complex system dynamics …

This paper studies the joint fleet sizing and charging system planning problem for a
company operating a fleet of autonomous electric vehicles (AEVs) for passenger and goods …

Taxi demand prediction is one of the key factors in making online taxi hailing services more
successful and more popular. Accurate taxi demand prediction can bring various …