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https://www.nationalacademies.org/trb/events

Urban Network Speed Optimization for Connected Automated Vehicles: Development and Testing

This research develops and evaluates optimal speed control strategies for Connected and Automated Vehicles (CAVs) at the network level, addressing critical gaps in existing research by incorporating multiple powertrain technologies including internal combustion engine vehicles (ICEVs), hybrid electric vehicles (HEVs), and hydrogen fuel cell vehicles (HFCVs). The study addresses real-world challenges such as communication delays, data transmission errors, and vehicle actuation complexities that are often overlooked in idealized research conditions. Using the INTEGRATION microscopic traffic simulation software, the research will implement advanced communication modules for vehicle-to-vehicle and vehicle-to-infrastructure interactions alongside vehicle speed control modules. The methodology involves formulating speed trajectory optimization as a constrained problem incorporating vehicle dynamics, fuel consumption models for different powertrains, and signal phase and timing data. Dynamic programming methods including A-star search algorithms will ensure real-time computational efficiency. The research includes extensive testing across varied traffic networks with different congestion levels and CAV market penetration rates, culminating in a scalable framework for generalizing results to large-scale networks including the entire U.S. roadway system through collaboration with Saudi Aramco.