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Thesis Information
Title: Assessing The Impacts Of Cavs On A Coordinated Signalized Corridor
Program: Master of Science in Civil Engineering
Advisor: Dr. Mandar Khanal, Civil Engineering
Committee Members: Dr. Yang Lu, Civil Engineering and Dr. Kyungduk Ko, Mathematics
Abstract
Connected Automated vehicles (CAVs) are growing in popularity and could have potential implications on the transportation system. The effects of CAVs have yet to be fully realized because of the newness of the technology. Anticipated effects include increased capacity, faster travel time, improved level of service, increased safety, and overall effectiveness of the transportation system. The Highway Capacity Manual (HCM) published by the Transportation Research Board of the National Academies has incorporated some of these impacts by developing capacity adjustment factors (CAFs) for various scenarios for freeway segments, signalized intersections, and roundabouts. This study builds upon the HCM study of signalized intersections by analyzing the effect CAVs have on a coordinated signalized corridor. Using PTV Vistro and PTV Vissim software a seven-intersection corridor along Eagle Rd in Boise, Idaho was modeled and analyzed with increasing penetration rates of CAVs. Approach delay, queue length, level of service and travel time along the corridor were studied as CAV penetration rates increased.