Title :
Optimised consensus for highway speed limits via intelligent speed advisory systems
Author :
Yingqi Gu;Mingming Liu;Emanuele Crisostomi;Robert Shorten
Author_Institution :
University College Dublin, Dublin, Ireland
Abstract :
In this paper, an application based on the Intelligent Speed Adaptation (ISA) system is proposed to reduce CO2 emissions of vehicles running on the highway. We apply the idea of optimised consensus to solve the emission optimisation problem in a simplified highway scenario through simulation study. Our approach shows that total CO2 emissions of vehicles can be minimised if all vehicles follow the reference speed signal derived from the ISA.
Keywords :
"Vehicles","Mathematical model","Optimization","Roads","Artificial intelligence","Accidents"
Conference_Titel :
Connected Vehicles and Expo (ICCVE), 2014 International Conference on
DOI :
10.1109/ICCVE.2014.7297509