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Improving Guidance for Automated Speed Enforcement
Principal Investigator:
Miguel Andres Figliozzi, Portland State University
Summary:
PROBLEM SUMMARY
Fatal and severe injury crashes are on the rise in Oregon with one of the prominent factors being excessive speeding. As many cities and communities expand walking and cycling infrastructure there has been an increase in pedestrian fatalities and speeding is a key factor that rapidly increases the severity of a crash when a cyclist or pedestrian is involved. Although this is a we...
PROBLEM SUMMARY
Fatal and severe injury crashes are on the rise in Oregon with one of the prominent factors being excessive speeding. As many cities and communities expand walking and cycling infrastructure there has been an increase in pedestrian fatalities and speeding is a key factor that rapidly increases the severity of a crash when a cyclist or pedestrian is involved. Although this is a well-known problem, the ability for law enforcement to make substantial interventions to vehicular speeding is limited due to their lack of human resources. Automated speed enforcement (ASE) systems are highly effective to reduce both operating speeds and severe crashes. Despite the overwhelming evidence for ASE systems to reduce speeding ODOT has no guiding documents for where, when, and how to cost-effectively deploy these systems. In addition, it necessary to consider carefully the impacts of ASE systems on equity and the public acceptance.
ODOT OBJECTIVES
With ODOT’s highest consideration being safety, this project aims at creating guidelines for the deployment of ASE systems across Oregon. The guidelines will identify best practices for ASE deployment as well as key variables that contribute to speeding and the conditions that lead to an effective deployment of ASE systems. The guidelines will be developed utilizing an evidence-based approach and will also include recommendations to increase public acceptance and address potential equity concerns.
Funder: Oregon Department of Transportation
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Project Details
| Project Type: | Research |
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| Project Status: | In Progress |
| End Date: | September 01, 2024 |