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

In this paper, we present a comprehensive, in-depth survey of the literature on reinforcement
learning approaches to decision optimization problems in a typical ridesharing system …

With the emerging concept of sharing-economy, shared electric vehicles (EVs) are playing a
more and more important role in future mobility-on-demand traffic system. This article …

Shared autonomous electric vehicles, also known as autonomous mobility on demand
systems, are expected to become commercially available by the next decade. In this work …

We evaluate performance of four different operational policies to control an automated
mobility-on-demand system with sequential vehicle-sharing in one public open-source …

This paper presents a quantitative analysis of the operations of shared-ride automated
mobility-on-demand services (SRAMODS). The study identifies (i) operational benefits 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 …

The goal of this paper is to present an end-to-end, data-driven framework to control
Autonomous Mobility-on-Demand systems (AMoD, ie fleets of self-driving vehicles). We first …

One-way car-sharing systems are becoming increasingly popular, and the introduction of
autonomous vehicles could make these systems even more widespread. Shared …

This paper considers the problem of routing and rebalancing a shared fleet of autonomous
(ie, self-driving) vehicles providing on-demand mobility within a capacitated transportation …