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Title: The Potential Benefits and Cost of Connected and Automated Vehicles: A Texas Case Study
Accession Number: 01626011
Record Type: Component
Abstract: Recent advances in vehicle technology has led to the emergence of connected vehicles (CV) and automated vehicles (AV). CV technology readiness currently exceeds that of fully-automated vehicles, yet with sufficient time both are expected to enter the market and convergence, bringing the connected and automated vehicle (CAV). Current research indicates that these combined technologies can bring substantial benefits to the transportation system through numerous aspects. This paper proposes a framework with which to evaluate the broad potential for human and economic impacts of CAVs on mobility, safety, and productivity and leisure at different levels of CAV market penetration, using the state of Texas as a case study. The results estimated here indicate that the greatest potential for realized CAV benefits stem from safety (57% of the total in the 90% market penetration scenario). Benefits from added productivity and leisure time also comprise a substantial portion of the total (valued at roughly $1,200 per driver annually per new CAV user). Congestion benefits are also apparent, though much smaller in magnitude. However, as market penetration increases, the proportion of congestion benefit also increases.
Supplemental Notes: This paper was sponsored by TRB committee AHB30 Standing Committee on Vehicle-Highway Automation.
Alternate title: Potential Benefits and Cost of Connected and Automated Vehicles: Texas Case Study
Monograph Title: Monograph Accession #: 01618707
Report/Paper Numbers: 17-04937
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Kim, BumsikPourrahmani, ElhamFagnant, Daniel JPagination: 16p
Publication Date: 2017
Conference:
Transportation Research Board 96th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Geographic Terms: Subject Areas: Data and Information Technology; Finance; Highways; Operations and Traffic Management; Policy; Vehicles and Equipment
Source Data: Transportation Research Board Annual Meeting 2017 Paper #17-04937
Files: TRIS, TRB, ATRI
Created Date: Dec 8 2016 11:53AM
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