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WISCONSIN SAFETY SCREENING ANALYSIS (SSA) AUTOMATION

 

Abstract: The Wisconsin Safety Screening Analysis (SSA) process combines crash history with roadway geometric considerations to identify potential safety deficiencies in the
existing roadway configuration during the early scoping phase of a construction project. This process has traditionally involved a significant, manually driven effort by regional engineers and planners to combine, analyze, and map disparate data sources
including as-built plan sets, asset management data, and linear referenced crash data. In order to streamline this process, the Wisconsin DOT has partnered with the Traffic Operations and Safety (TOPS) Laboratory at the University of Wisconsin-Madison to develop an automated tool to combine roadway deficiency information and crash history using linear referencing techniques. This presentation will provide an overview
of the SSA process, including the ten federal controlling criteria on which is it based, and will describe the approach taken for automating the integration process and for generating the resulting analysis map. The current status of the SSA tool, which was rolled out in late 2017, and planned enhancements, will also be described.


Steven Parker - is the Information Technology Program Manager for the Traffic Operations and Safety Laboratory at the University of Wisconsin-Madison. In this capacity, he has overseen development of the WisTransPortal Transportation Data Hub, a large scale data warehouse of traffic operations and safety data sponsored by the Wisconsin Department of Transportation. His research interests include transportation safety, advanced traffic management systems, connected vehicles, transportation data management, and GIS in transportation. He has a Ph.D. in computer sciences from the University of Wisconsin-Madison. 

 

 

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