Automated and Connected Vehicle (AV/CV) Test Bed To Improve Transit, Bicycle, and Pedestrian Safety Phase III: Technical Report
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2022-07-01
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Alternative Title:Automated and Connected Vehicle (AV/CV) Test Bed To Improve Transit, Bicycle, and Pedestrian Safety—Phase III [Project Title from Cover]
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Edition:July 2021
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Abstract:Crashes involving transit vehicles, bicyclists, and pedestrians are a concern in Texas, especially in urban areas. This research explored the potential of automated and connected vehicle (AV/CV) technology to reduce or eliminate these crashes. The project objectives focused on identifying safety concerns related to the interaction of transit vehicles, bicyclists, and pedestrians, and targeting AV/CV technologies to mitigate or eliminate those concerns. In Phase II, a concept of operations (ConOps) plan for designing, testing, piloting, demonstrating, and deploying candidate applications through an AV/CV Test Bed to Improve Transit, Bicycle, and Pedestrian Safety was developed. A smart intersection was developed and pilot tested at the RELLIS Campus. In this research project 0-6875-03, TTI researchers implemented a smart intersection at George Bush Drive and Penberthy Boulevard (GBD/PB) on the Texas A&M University campus in College Station. The smart intersection includes Texas A&M buses turning at the intersection automatically communicating with the traffic signal and providing audible and visual alerts to waiting pedestrians and bicyclists. The system was operated, monitored, and evaluated over a 14-month period from April 2020 to June 2021.
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