The development of connected and automated vehicle technologies allows for cooperative control of vehicles and traffic signals at intersections. This study aims at exploring the cooperation between traffic signal control and eco‐driving control for a connected hybrid electric vehicle (HEV) system. A two‐level cooperative control method for integrating traffic signal control, vehicle speed control, and energy management is proposed with the objective of improving both traffic and fuel efficiency for HEVs at isolated intersections. In view of the energy management and recuperation system of HEV, the vehicle energy consumption characteristic is considered in the proposed method. More specifically, at the traffic level, a traffic signal control strategy is designed to minimise the total travel time and fuel consumption of all HEVs using dynamic programming, which explicitly considers the arrival time and recuperation information of vehicles. At the vehicle level, a hierarchical control architecture is applied to optimise the speed trajectories and powertrain of each HEV using model predictive control and adaptive equivalent consumption minimisation strategy. Simulation results show that compared with the fixed‐time and cycle‐based signal control strategies with eco‐driving, the proposed method can significantly reduce the travel time and fuel consumption by up to 27 and 24%, respectively.
Cooperative control of connected hybrid electric vehicles and traffic signals at isolated intersections
IET Intelligent Transport Systems ; 14 , 13 ; 1903-1912
2020-12-01
10 pages
Article (Journal)
Electronic Resource
English
hierarchical control architecture , fuel economy , power transmission (mechanical) , energy consumption , traffic level , road traffic , energy management , predictive control , fixed‐time , traffic signals , isolated intersections , vehicle energy consumption characteristic , traffic signal control strategy , connected hybrid electric vehicle system , eco‐driving control , model predictive control , optimisation , dynamic programming , fuel efficiency , cycle‐based signal control strategies , hybrid electric vehicles , vehicle level , connected automated vehicle technologies , road traffic control , connected hybrid electric vehicles , fuel consumption , vehicle speed control , velocity control
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