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CROSS SYSTEM DATA LINKAGE: CONNECTICUT'S JOURNEY TOWARDS A TRAFFIC INJURY SURVEILLANCE DATASET

Abstract: 

Recent advances in highway safety analysis can provide more reliable information for effective investment decisions on the nation’s highway system. “Data-Driven Safety Analysis” (DDSA) was created under the third round of FHWA’s Every Day Counts (EDC-3) effort and continues under the current EDC-4 effort. The objective of the DDSA initiative is to incorporate safety performance into all highway investment decisions by broadening implementation of predictive and systemic safety analysis.  Predictive analysis combines crash, roadway inventory, and traffic volume data to provide reliable estimates of an existing or proposed roadway’s expected safety performance. The results inform roadway safety management and project development decision-making as well as safety countermeasure selection and Recent advances in highway safety analysis can provide more reliable information for effective investment decisions on the nation’s highway system. “Data-Driven Safety Analysis” (DDSA) was created under the third round of FHWA’s Every Day Counts (EDC-3) effort and continues under the current EDC-4 effort. The objective of the DDSA initiative is to incorporate safety performance into all highway investment decisions by broadening implementation of predictive and systemic safety analysis.  Predictive analysis combines crash, roadway inventory, and traffic volume data to provide reliable estimates of an existing or proposed roadway’s expected safety performance. The results inform roadway safety management and project development decision-making as well as safety countermeasure selection and evaluation.  Systemic analysis identifies high-risk roadway features associated with particular severe crash types. A comprehensive safety management program incorporates a systemic approach to complement traditional high crash location-oriented approaches.

While more reliable methods can lead to better decision-making, there is also a need for more reliable data to support these methods. The proposed session would provide an overview of two analysis approaches (hot-spot and systemic), highlight the benefits of more reliable methods in safety analysis, identify data requirements for more reliable methods, share information about available tools, and highlight examples from state and local agencies that have implemented these approaches. Attendees will gain an appreciation for the strengths and limitations of different methods as well as the role of quality data in the DDSA process. By advocating for a broader deployment of predictive and systemic analysis approaches to highway safety investment decision-making, the DDSA initiative seeks to improve upon traditional approaches that rely on historical crash data at a given site and prioritizing “hot spot” fixes. The net result is a more scientifically-sound, data-driven approach to allocating resources—resulting in fewer and less severe crashes on the nation’s roadways.

Presenters:

Jerry Roche  

John McFadden  

Dr. Frank Gross, P.E., - is a Senior Project Manager at VHB with over 15 years of diverse transportation research and engineering experience. As a safety researcher, he specializes in data analysis and the development of information to support national safety management tools such as the Highway Safety Manual. He has implemented a variety of statistical techniques to understand crash contributing factors and to estimate the effects of numerous safety strategies. As a safety engineer, he implements and promotes the use of these national tools, supporting state and local agencies with their highway safety programs.    

Eric Green - received his PhD in Civil Engineering at UK.  He is a research engineer at the Kentucky Transportation Center.  He is a licensed professional engineer in the state of Kentucky and a GISP.  

 Reg Souleyrette

 

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