Work

Shared Autonomous Mobility on Demand: A Learning-Based Approach and Its Performance in the Presence of Traffic Congestion

Year: 2020

Type: article

Abstract: Mobility-on-demand (MOD) systems consisting of shared autonomous vehicles (SAVs) are expected to improve the efficiency of urban transportation through reduced vehicle ownership and parking demand. However, several issues related to their implementation remain open, such as unifying the vehicle and ridesharing (RS) assignment with rebalancing (RB) unoccupied vehicles.

Source: IEEE Intelligent Transportation Systems Magazine

DOI: 10.1109/mits.2020.3014417

Authors: Maxime Gueriau, Federico Cugurullo, Ransford A. Acheampong, Ivana Dusparic

Institutions: Trinity College Dublin, University of Manchester

Language: English

Topic: Transportation and Mobility Innovations

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: green

Funders: Science Foundation Ireland, Irish Research Council