Impacts of Connected Vehicles and Automated Vehicles on State and Local Transportation Agencies--Task-Order Support. Task 13. Planning Data Needs and Collection Techniques for CV/AV Applications
As owners and operators of transportation infrastructure, state and local agencies maintain databases of relevant information. Currently, this includes travel survey records, traffic counts, crash records, design “as built” plan sets, construction schedules, and many more. Connected Vehicle/Autonomous Vehicle (CV/AV) applications need certain information about the environment and infrastructure in a variety of time scales, and information about the potential impact of CV/AV on future transportation. Household travel surveys are administered on a regular basis in many MPOs, and in several states. However, no information about the potential impact that CV/AV would have on future travel is available from these surveys, and no consensus exists about standards to collect information in this area. Similarly, some AV developers are currently storing detailed digital 3-D maps for reference during automated driving. Perhaps such an asset of a public agency could be valuable to many applications, but this requires maintenance. Some agencies provide access to various sets of information electronically, others are available through records requests, and yet others are not available at all. Agencies vary widely in their ability to provide access to certain information now and in the future. There is a need to identify the information that is necessary for agencies to maintain to plan, enable, and enhance CV/AV applications; develop standard formats and standard systems where they would be helpful and do not already exist; and provide guidance for agencies on how to implement strategies for collecting, updating, maintaining, and disseminating the information. Similarly, a variety of information about travel conditions can be collected by CV/AV enabled vehicles and can be shared with agencies to enhance their operations. Agencies currently struggle to collect good information about origin-destination flows, traffic volumes, travel delays, pavement surface quality, crash and anomaly location, and location of work zones, among others. There is a need to identify standards for collection of this information, how it is communicated to agencies, stored, maintained, updated, and eventually used to enhance transportation planning, operations, and maintenance. The Safety Pilot Model Deployment and the upcoming additional CV pilot deployments will continue to contribute valuable information on the design and implementation of management systems for dissemination of agency-owned data and ingestion of CV/AV generated information for agency operations. The scalability of these systems needs to be estimated in this research as the penetration level of CV/AV technology advances from several thousand vehicles to several millions. Similarly, each CV pilot deployment will only deploy a small subset of the 50+ envisioned applications. Scalability of the back-end system to eventually accommodate up to 50 applications will also need to be explored in this research. The objective of this research was to develop guidance on data collection and management strategies for the planning needs of typical agencies. This research will be coordinated with Task 14 that is looking at the operational realm.
- Record URL:
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Supplemental Notes:
- This project is combined with NCHRP Project 08-119 Data Integration, Sharing, and Management for Transportation Planning and Traffic Operations. NCHRP Project 08-119 has been expanded in scope and budget to include this project.
Language
- English
Project
- Status: Terminated
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Contract Numbers:
Project 20-102, Task 13
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Sponsor Organizations:
National Cooperative Highway Research Program
Transportation Research Board
500 Fifth Street, NW
Washington, DC United States 20001American Association of State Highway and Transportation Officials (AASHTO)
444 North Capitol Street, NW
Washington, DC United States 20001Federal Highway Administration
1200 New Jersey Avenue, SE
Washington, DC United States 20590 - Start Date: 20210907
- Expected Completion Date: 0
- Actual Completion Date: 20210907
- Source Data: RiP Project 41007
Subject/Index Terms
- TRT Terms: Data collection; Data management; Intelligent vehicles; Metropolitan planning organizations; Mobile communication systems; Standards
- Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; Vehicles and Equipment;
Filing Info
- Accession Number: 01607610
- Record Type: Research project
- Source Agency: Transportation Research Board
- Contract Numbers: Project 20-102, Task 13
- Files: TRB, RIP
- Created Date: Aug 12 2016 8:31AM