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

Challenged by urbanization and increasing travel needs, existing transportation systems
need new mobility paradigms. In this article, we present the emerging concept of …

The sharing economy, a term we use to refer to business models built around on-demand
access to products and services mediated by online platforms that match many small …

In a ride-sharing system, arriving customers must be matched with available drivers. These
decisions affect the overall number of customers matched, because they impact whether …

As a consequence of the sharing economy attaining more popularity, there has been a shift
toward shared-use mobility services in recent years, especially those that encourage users …

Ride-sourcing services are increasingly popular because of their ability to accommodate on-
demand travel needs. A critical issue faced by ride-sourcing platforms is the supply-demand …

Abstract Problem Definition: Motivated by ride-hailing platforms such as Uber, Lyft and Didi,
we study the problem of matching riders with self-interested drivers over a spatial network …

We address a comprehensive ride-hailing system taking into account many of the decisions
required to operate it in reality. The ride-hailing system is formed of a centrally managed …

We examine the effect of the introduction of ridehailing in US cities on fatal traffic accidents.
The arrival of ridehailing is associated with an approximately 3% increase in the number of …

In this paper, we define and investigate a novel model-free deep reinforcement learning
framework to solve the taxi dispatch problem. The framework can be used to redistribute …