This study was primarily conducted to inform the Florida Department of Transportation’s (FDOT) decision to implement Vehicle-to-Infrastructure (V2I)-based Active Traffic Management (ATM) strategies. Researchers identified connected vehicle (CV) applications that improve transportation mobility and driver safety on urban arterials. A methodology was developed for selecting between CV-based applications and other applications, based on stochastic return on investment (ROI) analysis and multi-criteria decision analysis (MCDA). To estimate benefits and costs of CV-based and non-CV-based applications, a case study was conducted using a road segment along Florida State Road 924 (SR-924) in Miami-Dade County; the 2.79-mi-long segment has six lanes, a speed limit of 40 mph, and a total of 12 signalized and nine unsignalized intersections. The project demonstrates the use of micro-simulation modeling to assess the safety and mobility of one CV-application, Signalized Left Turn Assist (SLTA). The mobility performance of base conditions was estimated using Highway Capacity Software (HCS) and the safety performance of base conditions was estimated using a statewide crash database with collected data from January 2015 to December 2017.
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