Optimization of On-Demand Shared Autonomous Vehicle Deployments Utilizing Reinforcement Learning

Ride-hailed shared autonomous vehicles (SAV) have emerged recently as an economically feasible way of introducing autonomous driving technologies while serving the mobility needs of under-served communities. There has also been corresponding research work on optimization of the operation of these SA...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Karina Meneses-Cime, Bilin Aksun Guvenc, Levent Guvenc
Format:	Article
Language:	English
Published:	MDPI AG 2022-10-01
Subjects:	shared autonomous vehicles mobility traffic-in-the-loop simulation optimization reinforcement learning
Online Access:	https://www.mdpi.com/1424-8220/22/21/8317