Connected and automated vehicle (CAV) technology has progressed to the point where these vehicles are beginning to appear in traffic streams around the globe. As a result, there is a rising need for similar advances in the technology underlying traffic signal control systems. In this paper, we perform a quantitative and qualitative comparison of two state-of-the-art intelligent signal control systems; namely, the Hybrid Autonomous Intersection Management (H-AIM) [1] system and the Intelligent Intersection Control Algorithm (IICA) [2]. These systems use real-time sensors such as traffic cameras, vehicle-to-infrastructure communication, and real-time optimization and/or decision-making to maximize the efficiency of signalized intersections for CAVs as well as conventional vehicles. We describe the various assumptions under which these systems operate and present simulation results over a range of traffic scenarios and CAV penetration rates. Under the considered headways, IICA achieves the lowest travel times and highest throughput for CAV penetration rates up to around 95%.
A Comparison of Intelligent Signalized Intersection Controllers Under Mixed Traffic
2018-11-01
196165 byte
Conference paper
Electronic Resource
English
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