Cooperative control of connected hybrid electric vehicles and traffic signals at isolated intersections

• Published in: IET intelligent transport systems Vol. 14; no. 13; pp. 1903 - 1912
• Main Authors: Chen, Jian, Qian, Li-Jun, Xuan, Liang
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 15.12.2020
• Subjects: connected automated vehicle technologies; connected hybrid electric vehicle system; connected hybrid electric vehicles; cycle‐based signal control strategies; dynamic programming; eco‐driving control; energy consumption; energy management; fixed‐time; fuel consumption; fuel economy; fuel efficiency; hierarchical control architecture; hybrid electric vehicles; isolated intersections; model predictive control; optimisation; power transmission (mechanical); predictive control; Research Article; road traffic; road traffic control; traffic level; traffic signal control strategy; traffic signals; vehicle energy consumption characteristic; vehicle level; vehicle speed control; velocity control; model predictive control; eco-driving control; road traffic control; power transmission (mechanical); connected hybrid electric vehicles; fixed-time; connected automated vehicle technologies; cycle-based signal control strategies; optimisation; connected hybrid electric vehicle system; traffic signals; energy management; vehicle energy consumption characteristic; vehicle level; energy consumption; vehicle speed control; fuel efficiency; road traffic; fuel consumption; dynamic programming; traffic level; velocity control; fuel economy; traffic signal control strategy; hierarchical control architecture; hybrid electric vehicles; predictive control; isolated intersections
• ISSN: 1751-956X; 1751-9578
• DOI: 10.1049/iet-its.2020.0287

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.