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Utah Researchers Develop New Methods to Predict Pedestrian Crashes

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Utah Researchers Develop New Methods to Predict Pedestrian Crashes
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A report by the Utah Department of Transportation highlights the need for improved safety predictive methods to prevent pedestrian crashes at signalized intersections. Researchers suggest using push-button data to better identify high-risk locations and implement proactive countermeasures.

Key takeaways

  • The Utah Department of Transportation is developing improved safety predictive methods for pedestrian crashes at signalized intersections.
  • Researchers are utilizing push-button-based measures of exposure to better understand pedestrian risk.
  • A systemic approach to safety focuses on identifying high-risk treatment locations rather than just high-crash locations.
  • Research conducted by Utah State University analyzed pedestrian and bicycle-involved crashes from 2010 to 2019.
  • The goal of these studies is to identify risk factors and implement proactive countermeasures to prevent future accidents.

Researchers are working to improve how Utah predicts pedestrian crashes at signalized intersections by using data from pedestrian push buttons to better identify high-risk areas. The Utah Department of Transportation has focused on developing improved safety predictive methods to move away from reactive crash analysis toward proactive roadway safety management.

Predicting Pedestrian Risks

A report from the Utah Department of Transportation's Research and Innovation Division, titled Report No. UT-21.08, addressed the challenge of developing improved safety predictive methods for pedestrian crashes at signalized intersections. The study emphasized the use of push-button-based measures of exposure to gain a more accurate understanding of pedestrian safety risks.

Proactive Safety Measures

The research highlights a shift in how state officials approach roadway safety. By utilizing data from pedestrian push buttons, the Utah Department of Transportation aims to create more effective predictive models. These models help identify potential danger zones before fatal or injurious accidents occur, rather than relying solely on historical crash data to react to incidents after they have happened.

Systemic Safety Analysis

A systemic analysis of bicycle and pedestrian safety in Utah, published May 1, 2022, by researchers from Utah State University, noted that a systemic approach to roadway safety management serves as a proactive means of identifying risk factors and countermeasures. This method focuses on identifying high-risk treatment locations rather than just looking at locations with a high volume of previous crashes.

Data Collection and Scope

The study conducted by Patrick A. Singleton, Md Rafiur Rahman, and Shaunna K. Burbidge involved a comprehensive data collection process. The researchers selected various study locations, including segments and both signalized and non-signalized intersections. They assigned pedestrian and bicycle-involved crashes occurring between 2010 and 2019 to these specific locations to assemble a detailed safety profile.

Identifying Risk Factors

The research aims to identify specific risk factors and potential treatment sites to improve safety for vulnerable road users. By analyzing how bicycles and pedestrians interact with the roadway, the Utah Department of Transportation and the Federal Highway Administration seek to develop countermeasures that address the underlying causes of accidents.

Future Safety Directions

The ongoing efforts by the Utah Department of Transportation continue to evolve as new data collection methods are implemented. The integration of pedestrian exposure data into safety models represents a significant step in the state's effort to manage roadway safety through data-driven, proactive interventions.

Sources used (2)

  • rosap.ntl.bts.govOfficialSystemic Analysis of Bicycle and Pedestrian Safety in Utah
  • udot.dev.utah.govOfficialReport No. UT-21.08: Safety in Numbers? Developing Improved Safety Predictive Methods for Pedestrian Crashes at Signalized Intersections in Utah Using Push Button-Based Measures of Exposure | UDOT

How this story was made

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rosap.ntl.bts.govudot.dev.utah.gov

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Coverage collected from the outlets listed above. · October 4, 2026

Written by AI

Utah News AI (on-device model) · drawing on 2 outlets · October 4, 2026

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25 min ago · October 4, 2026

This story was written by AI from the public sources listed above and passed automated quality review before publishing.

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