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Advisor(s)
Abstract(s)
Intersections are critical elements of urban traffic management and are identified as bottlenecks prone to traffic
congestion and accidents. Intelligent intersection management plays a significant role in improving traffic
efficiency and safety determining, among other metrics, the waiting time that vehicles incur when crossing an
intersection. This work presents a preliminary analysis of the worst-case response time of intersection
management protocols that handle mixed traffic with autonomous and human-driven vehicles. We deduce
theoretical bounds for such time considered as the interval between the injection of a vehicle in the road system and its departure from the intersection, considering different intersection management protocols for mixed traffic, namely the Synchronous Intersection Management Protocol (SIMP) and several configurations of the conventional Round-Robin (RR) policy. Simulation results validate the analytical bounds partially. Ongoing work addresses thequeue dynamics and its reliable detection by traffic simulators.
Description
Keywords
Smart Cities Intelligent Transportation Systems Intersection Management Worst-Case Response Time
Citation
Publisher
IEEE