Green Cooperative Adaptive Control Systems in the Vicinty of Signalized Intersections.

摘要

Recently, reducing energy and emissions of driving has become a global need more than ever before, and as a result, engineers and policy makers are striving towards getting the highest possible fuel efficiency out of vehicles. Along with this, communication between components of surface transportation is being developed to improve the safety. This has resulted in development of wireless technologies and protocols that define Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication. The research presented in this paper develops a fuel-optimization framework of such connected vehicles using advanced signal-change information, information about queued vehicles at signalized intersections and speed and headway of the lead-vehicles. Vehicle trajectories on arterials and freeways can be considered as a combination of five driving episodes--acceleration, deceleration, cruising, coasting and idling. Speed variations occur due to numerous factors, including: vehicle-vehicle interaction, traffic control device constraints, infrastructure limitations and even driver distraction. This speed variations result in additional fuel consumption because of travel at non-optimum speeds and the extra power exerted while accelerating. Avoiding these speed variations is not always possible without compromising safety and/or respecting traffic control devices.