Data and Methods to Estimate Connected and Automated Vehicle Penetration Rates
Automated driving systems are becoming increasingly prevalent on Virginia roadways. These vehicles rely on radar, lidar, and machine vision to operate, and may detect road markings, barriers, and other vehicles in ways that human drivers do not. Vehicles may also leverage wireless communication to assist in driving, path planning, and communicating with roadside infrastructure. Recent research has investigated the impact of an increasingly connected and automated vehicle fleet on safety and capacity, but these estimates rely on accurate measurements of the volumes or proportions of vehicles on the road equipped with and utilizing these technologies. VDOT does not currently have a way to estimate the volume of connected (CV), automated (AV), or connected and automated (CAV) vehicles operating on Virginia roadways. The purpose of this project is to identify data required for VDOT to accurately estimate the proportion of vehicles equipped with and utilizing vehicle automation technologies that may affect safety and operations. This project will also consider practical ways to collect this data using both available data sources as well as potential additions to the current vehicle registration system. Benefits to VDOT include more accurate data on the rate of CAVs in the vehicle fleet, allowing the development and calibration of empirical models of the effect of CAVs on traffic flow, capacity, safety, and infrastructure planning.
Language
- English
Project
- Status: Active
- Funding: $67,699
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Contract Numbers:
122087
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Sponsor Organizations:
Virginia Transportation Research Council
530 Edgemont Road
Charlottesville, VA United States 22903 -
Performing Organizations:
Virginia Transportation Research Council
530 Edgemont Road
Charlottesville, VA United States 22903 -
Principal Investigators:
Goodall, Noah
- Start Date: 20220725
- Expected Completion Date: 20230831
- Actual Completion Date: 0
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Connected vehicles; Data collection; Estimation theory; Highway capacity; Market penetration; Traffic flow; Traffic safety; Traffic volume
- Geographic Terms: Virginia
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01851232
- Record Type: Research project
- Source Agency: Virginia Department of Transportation
- Contract Numbers: 122087
- Files: RIP, STATEDOT
- Created Date: Jul 12 2022 11:53AM