Strategies to Identify and Mitigate Secondary Crashes Using Real-Time Traffic Data on Florida's Turnpike
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2021-05-01
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Edition:Final Report, November 2019 – May 2021
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Abstract:The primary goal of this research was to develop a comprehensive approach to identify and mitigate secondary crashes on the Florida Turnpike System in real time. The specific research objectives were to: (1) identify secondary crashes; (2) identify significant factors contributing to the occurrence of secondary crashes; (3) develop an algorithm that predicts the likelihood of secondary crashes in real time; and (4) explore the potential of connected vehicle (CV) applications in mitigating secondary crashes. This research used four types of data: (1) incident data; (2) high-resolution traffic data; (3) roadway geometric data; and (4) high-resolution rainfall data. These data were collected from January 2014 to June 2019. The study corridors were primarily selected from the Florida’s Turnpike Mainline and Turnpike Extension.
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