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http://hdl.handle.net/1942/34782
Title: | "Everything Somewhere" or "Something Everywhere": Examining the Implications of Automated Vehicles' Deployment Strategies | Authors: | TAFIDIS, Pavlos FARAH, Haneen BRIJS, Tom PIRDAVANI, Ali |
Issue Date: | 2021 | Publisher: | MDPI | Source: | Sustainability (Basel), 13 (Art N° 9750) | Abstract: | "Everything somewhere" or "something everywhere" is the classic dilemma concerning the development and implementation of the future generation of vehicles, i.e., automated vehicles (AVs). Both strategies include diverse policy options that could significantly impact road networks' planning, design, operation, and utilization. Until now, no significant research has been conducted concerning their implications. In this paper, we aim to examine how ready the current physical infrastructure is by identifying the requirements of each strategy and then applying them in a common type of intersection. The study's findings demonstrate that AVs' performance can be affected by policy implementation decisions and adds further weight to the argument of AVs separation or no-separation from no-AVs traffic. Furthermore, the insignificant improvements in traffic performance imply the low readiness of the current road networks in urban areas to accommodate the new technology. This study contributes to determining that research on the readiness of the road infrastructure and the deployment of AVs in urban areas is inevitable. It also identifies that roads' geometric design can dramatically affect AVs' operation and the difficulties of implementing dedicated lanes in urban areas due to space availability. | Keywords: | automated vehicles;road design;road infrastructure;traffic simulation;traffic performance | Document URI: | http://hdl.handle.net/1942/34782 | ISSN: | 2071-1050 | e-ISSN: | 2071-1050 | DOI: | 10.3390/su13179750 | ISI #: | 000694521100001 | Rights: | 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2022 |
Appears in Collections: | Research publications |
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