The National Academies

NCHRP 20-102(25) [Anticipated]

Readiness and Effectiveness of Freeway-Based Corridor V2X Applications for Improving Congestion and Safety
[ NCHRP 20-102 (Impacts of Connected Vehicles and Automated Vehicles on State and Local Transportation Agencies--Task-Order Support) ]

  Project Data
Funds: $500,000
Staff Responsibility: Dr. Zuxuan Deng
Fiscal Year: 2020



This research will focus on freeway-based vehicle-to-everything (V2X) applications that are at various levels of development, proof-of-concept, or pilot stages. The development of these applications is changing and evolving at a rapid pace. Various applications can be researched based on current developments and gaps in knowledge. Applications to be researched in this study would be from the V2X applications currently listed on the Connected Vehicle Resource Implementation Architecture site (https://local.iteris.com/cvria).




This research will develop a guidebook for transportation agency staff to assess the readiness of these applications for deployment. The research plan will: (1) Develop criteria and methodology for determining the technological readiness of current and future CAV applications; (2) Identify several representative freeway corridor scenarios covering urban, suburban and intercity environments with different levels of traffic volume; (3) Quantify the safety and/or congestion performance benefits of each application for each corridor scenario at different levels of market penetration; (4) Develop a methodology to determine a return on investment for agencies to help determine the benefit of investment into connected vehicle infrastructure; and (5) Evaluate the benefit-cost relationship for application deployment for various connected and automated vehicle penetration rates for each corridor scenario.




This work will be coordinated with the Cooperative Automated Transportation Coalition’s IOO/OEM Forum that is promoting improved freeway mobility. While that effort is focused on the technical level, this project should look at the strategic and policy implications, particularly with a mixed fleet.

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