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An analysis of the value of optimal routing and signal timing control strategy with connected autonomous vehicles

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Title: An analysis of the value of optimal routing and signal timing control strategy with connected autonomous vehicles
Authors: Li, T
Guo, F
Krishnan, R
Sivakumar, A
Item Type: Journal Article
Abstract: With the emergence of connected and automated technologies, Connected Autonomous Vehicles (CAVs) are able to communicate and interact with other vehicles and signal controllers. Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) communications open up an opportunity to improve routing and signal timing efficiency with additional information from CAVs, such as prior travel time and signal green time. Most of the existing research on routing and signal timing for Human Driven Vehicles (HDVs) has to face the fact that human drivers only have partial knowledge about travel costs and traffic status on the road network, which typically reduces the system efficiency. In this paper, the impacts of additional information from CAVs on routing and signal timing efficiency in terms of total travel time have been investigated. An Optimal Routing and Signal Timing (ORST) control strategy for CAVs has been proposed and compared with four existing routing and signal timing strategies where drivers have different levels of information. The results of the simulation demonstrate that with additional information from CAVs, ORST can reduce about 49% of the total travel time compared with Stochastic User Equilibrium (SUE) and about 10% of the total travel time compared with User Equilibrium (UE).
Issue Date: 29-Sep-2022
Date of Acceptance: 20-Sep-2022
URI: http://hdl.handle.net/10044/1/99960
DOI: 10.1080/15472450.2022.2129021
ISSN: 1547-2450
Publisher: Informa UK Limited
Start Page: 1
End Page: 15
Journal / Book Title: Journal of Intelligent Transportation Systems
Copyright Statement: © 2022 The Author(s). Published with license by Taylor and Francis Group, LLC This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
Keywords: Logistics & Transportation
0102 Applied Mathematics
1507 Transportation and Freight Services
Publication Status: Published online
Open Access location: https://www.tandfonline.com/doi/full/10.1080/15472450.2022.2129021
Online Publication Date: 2022-09-29
Appears in Collections:Civil and Environmental Engineering



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