Administration of Highway and Transportation Agencies. Connected Road Classification System (CRCS) Development

In September 2015, the USDOT announced selection of three pilot deployment sites to develop, test, and demonstrate connected vehicle (CV) applications in the states of Florida, New York, and Wyoming. While the transportation community will learn a considerable amount from these pilot deployments, they represent only a portion of the recent partnerships, test facilities, and pilot deployments intended to test and validate CV and highly automated vehicle (HAV) technologies and applications as the private sector accelerates their development. HAVs are those “in which the vehicle can take full control of the driving task in at least some circumstances” (NHTSA’s Federal Automated Vehicles Policy). This corresponds to Level 4 of SAE Standard J3016 classifying the level of automated driving in on-road motor vehicles. From the infrastructure owners/operators’ perspective, there is a considerable amount of activity needed to understand the enormity of the issues that will be faced and the tasks that will need to be performed by transportation agencies over the next two to three decades. CVs will require roadside infrastructure and communications to supporting systems, and therefore the DOTs that own and operate the infrastructure are typically leading or playing a large role in these developments and deployments. While HAVs will benefit from communications with roadside infrastructure, they are not as dependent on this interaction and DOTs are not as involved in their development. There are, however, aspects of the infrastructure, such as lane and crosswalk striping, that are critical to the operation of HAVs. Perhaps the cornerstone decision facing each infrastructure owner/operator is the level to which they intend to equip their roadways for the impending rollout of CVs and HAVs. Recognizing this, the Colorado Department of Transportation (CDOT) has proposed a road classification system with six levels that relate to the roadway’s ability to support CVs and HAVs. Research is needed to build on CDOT’s efforts to develop a uniform classification system. This system will help agencies designate their roadways based on the degree and level of readiness to accommodate CVs and HAVs and plan their deployment of needed infrastructure. The objective of this project is to develop a consensus Connected Road Classification System (CRCS) that will be useful to state and local departments of transportation and metropolitan planning organizations that are planning or implementing CV- and HAV-compatible infrastructure. Vehicle original equipment manufacturers (OEMs) and other private-sector interests (e.g., other HAV developers, transportation network companies, digital map providers, cellular telecommunications companies) must be involved in the development to ensure that the system is relevant to their development plans.

Language

  • English

Project

  • Status: Active
  • Funding: $180000
  • Contract Numbers:

    Project 20-24(112)

  • Sponsor Organizations:

    National Cooperative Highway Research Program

    Transportation Research Board
    500 Fifth Street, NW
    Washington, DC  United States  20001

    American Association of State Highway and Transportation Officials (AASHTO)

    444 North Capitol Street, NW
    Washington, DC  United States  20001

    Federal Highway Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Project Managers:

    Crichton-Sumners, Camille

  • Performing Organizations:

    Texas A&M Transportation Institute

    Texas A&M University System
    3135 TAMU
    College Station, TX  United States  77843-3135
  • Principal Investigators:

    Poe, Christopher

  • Start Date: 20170901
  • Expected Completion Date: 20180831
  • Actual Completion Date: 0
  • Source Data: RiP Project 41396

Subject/Index Terms

Filing Info

  • Accession Number: 01622745
  • Record Type: Research project
  • Source Agency: Transportation Research Board
  • Contract Numbers: Project 20-24(112)
  • Files: TRB, RiP
  • Created Date: Jan 19 2017 1:01AM