Next generation safety performance monitoring at signalized intersections using connected vehicle technology.
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2014-08-01
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Abstract:Crash-based safety evaluation is often hampered by randomness, lack of timeliness, and rarity of crash ; occurrences. This is particularly the case for technology-driven safety improvement projects that are ; frequently updated or replaced by newer ones before it is possible to gather adequate crash data for a ; reliable and defensible before-after evaluation. Surrogate safety data are commonly used as an alternative ; to crash data; however, its current practice is still resource intensive and subject to human errors. The ; advent of connected vehicle technology allows vehicles to communicate with each other and infrastructure ; wirelessly. This platform also offers the opportunity for automated and continuous tracking of vehicle ; trajectories and signal status at the facilities in real time. These types of data can potentially be extracted ; and used to detect the deficiencies in the safety performance of the facility operation. ; This project examines the viability of long-term monitoring of connected vehicle data for safety ; performance evaluation. As limited saturation of onboard equipment (OBE) is expected in the near-term ; evolution, the study focuses on a connected vehicle application that can process data elements from OBEs ; via vehicle-to-infrastructure communications using standard message sets. To accomplish the objective, a ; signalized intersection test bed was created in VISSIM while the wireless communications capability and ; the application were implemented using Car-to-Everything Application Programming Interface. The ; evaluation results indicated that the application can effectively detect changes in safety performance at full ; market penetration. Sensitivity analysis showed that at least 40 percent penetration rate is desirable for ; reliable safety deficiency detection under light to moderate traffic volume conditions. The observation ; period can be extended to compensate for low sample size under low OBE market penetrations. The ; required observation periods vary with the types of safety indicators being collected and the levels of OBE ; saturation
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Main Document Checksum:urn:sha256:787c3ddb18978895cdc32834b29d49c171140f3248c406d0f43cc9a33bfce105