University of Washington
Identifying High-Risk Built Environments for Severe Bicycling Injuries
PI: Qing Shen (UW), qs@u.washington.edu
Dates: 12/16/2015 – 12/15/2016
Status: Completed
UTC Project Information
Final Technical Report
The rise of eco-friendly lifestyles has contributed to the increasing popularity of bicycling in the US. However, cyclist crash injuries remain as a serious public health problem. While the number of deaths in traffic crashes has declined significantly over the past four decades (The National Highway Traffic Safety Administration 2012a), the number of injured cyclists increased from 45,000 in 2001 to 49,000 in 2012. The percentage of cyclist fatalities among total traffic deaths increased from 1.7% to 2.2% in the same period (The National Highway Traffic Safety Administration 2012b). Thus, it is important to understand what factors are associated with cyclist injuries, especially severe injuries. Read More
Analysis of Roadway Safety under the Alternative Project Delivery Systems
PI: Ahmed Abdel Aziz (UW), amaziz@uw.edu
Dates: 12/16/2015 – 12/15/2016
Status: Completed
Project Information
Final Technical Report
In the United States, most highway projects were developed using the traditional design‐bidbuild delivery system. Following to regular conditions assessment, maintenance of a road is performed based on the availability of funds and the priorities established for road maintenance. With the scarcity of maintenance funds, serviceability of roads is impacted, which affects road safety. Read More
Enhancing Safe Traffic Operations Using Connected Vehicles Data and Technologies
PI: Yinhai Wang (UW), yinhai@uw.edu
Dates: 12/16/2015-12/15/2016
Status: Completed
Project Information
Final Technical Report
The ultimate goal of the proposed research is to use connected vehicles (CVs) data and technologies to improve traffic safety on mixed-use roadway networks (e.g., freeways and intersections). This goal is relevant to all three themes of PacTrans, namely Technological Impacts on Safety, safe travel on mixed-use roads, and Performance Evaluation of Safety Projects.
Developing a clustering-based empirical Bayes analysis method for hotspot identification
PI: Yinhai Wang (UW), yinhai@uw.edu
Dates: 12/16/2015 – 12/15/2016
Status: Completed
Project Information
Final Technical Report
The identification of sites with promise, also known as crash hotspots or hazardous locations, is the first step in the overall safety management process. One widely applied approach to this task is the popular empirical Bayes (EB) method. The EB method is described and recommended in Highway Safety Manual (2010) for roadway safety management. The EB method can correct for regression-to-the mean bias and refine the predicted mean of an entity.
Safe Main Street Highways (SMSH)
PI: Anne Vernez Moudon (UW), moudon@uw.edu
Dates: 01/16/2015 – 06/15/2016
Status: Completed
UTC Project Sheet
Final Technical Report
Increases in non-motorized travel also raise important safety issues, as pedestrians and bicyclists constitute the most vulnerable road users. Therefore, tools to identify locations with a high risk of collisions between motor-vehicles and pedestrians or bicyclists are essential to insure that gains in mobility, air quality, and health are not accompanied by higher rates of injuries and fatalities in vulnerable road users. Read More
