Self-Explaining Roads in the Safe System: Addressing Target Speeds within Context

The self-explaining roads (SERs) concept can be effective in speed management resulting in fewer fatal and serious injury crashes. Successful SERs include features that clearly indicate the type of road and act implicitly to elicit appropriate speeds through design and operational characteristics. SER has a long theoretical history with a handful of individual and project-level implementation documents along with several research works exploring the impact of specific features on driver speed profiles proving that these formulas are possible and can be effective in corridor evaluation and planning. The objective of this research is to develop a guidance document for applying the SER concept to roadway design and operations. The proposed work will evaluate roadway operating characteristics of geographic areas (a city or regional sub-area) to compare the features of roads with good compatibility between posted and operational speed, strong multimodal use, and low crash frequency and injury severity outcomes with roads that do not to better understand approaches to achieve target speeds.

Language

  • English

Project

  • Status: Proposed
  • Funding: $700000
  • Contract Numbers:

    Project 07-36

  • 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:

    Zhao, Yi

  • Start Date: 20230725
  • Expected Completion Date: 0
  • Actual Completion Date: 0

Subject/Index Terms

Filing Info

  • Accession Number: 01888644
  • Record Type: Research project
  • Source Agency: Transportation Research Board
  • Contract Numbers: Project 07-36
  • Files: TRB, RIP
  • Created Date: Jul 25 2023 8:50AM