Agent-based modeling of Eco-Cooperative Adaptive Cruise Control systems in the vicinity of intersections

摘要

Eco-Cooperative Adaptive Cruise Control (ECACC) systems are a type of Cooperative Adaptive Cruise Control (CACC) that compute the most fuel-efficient (or near-fuel efficient) vehicle trajectory using available information regarding roadway characteristics, set-speed, upcoming signal changes and interaction with other vehicles. ECACC leverages information transfer between vehicles and infrastructure to predict future fuel consumption for alternate vehicle trajectories and selects the fuel optimal trajectory for implementation. ECACC is vehicle-dependent and hence can be modeled using adaptive agents. The ECACC algorithm defined in this paper is vehicle-sensitive and is hence emulated using agent-based models. Simulations to measure the effectiveness of the proposed system using a state-of-the-art fuel-consumption model shows reductions in fuel consumption levels of up to 30 percent in proximity of signalized intersections.