Evaluation of AV Deadheading Strategies

Author:

Mantri Sruthi1,Bergman David2,Lownes Nicholas1ORCID

Affiliation:

1. Department of Civil and Environmental Engineering, University of Connecticut, Storrs, CT 06269, USA

2. School of Business, University of Connecticut, Storrs, CT 06269, USA

Abstract

The transition of the vehicle fleet to incorporate AV will be a long and complex process. AVs will gradually form a larger and larger share of the fleet mix, offering opportunities and challenges for improved efficiency and safety. At any given point during this transition a portion of the AV fleet will be consuming roadway capacity while deadheading, which means operating without passengers. Should these unoccupied vehicles simply utilize the shortest paths to their next destination, they will contribute to congestion for the rest of the roadway users without providing any benefit to human passengers. There is an opportunity to develop routing strategies for deadheading AVs that mitigate or eliminate their contribution to congestion while still serving the mobility needs of AV owners or passengers. Some of the AV fleet will be privately owned, while some will be part of a shared AV fleet. In the former, some AVs will be owned by households that are lower-income and benefit from the ability to have fewer vehicles to serve the mobility needs of the household. In these cases, it is especially important that deadheading AVs can meet household mobility needs while also limiting the contribution to roadway congestion. The aim of this study is to develop and evaluate routing strategies for deadheading autonomous vehicles (AVs) that balance the reduction of roadway congestion and the mobility needs of households. By proposing and testing a bi-objective program, this study seeks to identify effective methodologies for routing unoccupied AVs in a manner that mitigates their negative impact on traffic while still fulfilling essential transportation requirements of the household. Three strategies are proposed to deploy AV deadheading methodology to route deadheading vehicles on longer paths, reducing congestion for occupied vehicles, while still meeting the trip-making needs of households. Case studies on two transportation networks are presented alongside their practical implications and computational requirements.

Funder

Center for Advanced Multimodal Mobility Solutions and Education

Publisher

MDPI AG

Reference43 articles.

1. Preparing a nation for autonomous vehicles: Opportunities, barriers and policy recommendations;Fagnant;Transp. Res. Part A Policy Pract.,2015

2. Mavromatis, I., Tassi, A., Piechocki, R.J., and Sooriyabandara, M. (2020, January 25–28). On urban traffic flow benefits of connected and automated vehicles. Proceedings of the 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), Antwerp, Belgium.

3. Federal Highway Administration (2023, May 17). Policy and Strategy Analysis Team, Available online: https://www.fhwa.dot.gov/policy/otps/policyanalysis.cfm.

4. Gopalakrishna, D., Carlson, P.J., Sweatman, P., Raghunathan, D., Brown, L., and Serulle, N.U. (2021). Impacts of Automated Vehicles on Highway Infrastructure, Federal Highway Administration.

5. The impact of autonomous vehicles on cities: A review;Duarte;J. Urban Technol.,2018

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3