Automated and Connected Vehicle (AV/CV) Test Bed to Improve Transit, Bicycle, and Pedestrian Safety: Phase II Technical Report

US Transportation Collection2020PDFTech ReportTurnbull, Katherine F.Balke, KevinSunkari, SrinivasaCharara, HassanBratlien, ChrisTan, ShumanHiggins, LauraFitzpatrick, KayCherrington, LindaTexas A&M Transportation InstituteTexas. Dept. of Transportation. Research and Technology Implementation OfficeUnited States. Department of Transportation. Federal Highway AdministrationTexas A&M Transportation InstituteUnited StatesAutonomous vehiclesConnected vehiclesCyclistsPedestrian safetySignalized intersectionsTest proceduresTraffic crashesTraffic safetyTransit safetyBusesBicyclesPedestriansSmart IntersectionsFHWA/TX-18/0-6875-01-R1, 0-6875-01-R10-6875-01Technical Report, April 2016\u2013December 2018Crashes 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, concept applications were identified, along with public- and private-sector partners. 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. Phase II focused on improving safety at signalized intersections, which represents complex space for buses, bicyclists, and pedestrians. Research activities included identifying use cases and alert scenarios for buses and pedestrians interacting at intersections, developing the system requirements, and developing the test plan, test scenarios, and test procedures for the proof-of-concept tests. Researchers conducted a preliminary test of possible alert methods and messages. A proof-of-concept test was conducted at a new state-of-the-art smart intersection at The Texas A&M University System\u2019s RELLIS Campus.113