Authors: Fang Cao; Shuqi Liu
Addresses: State Key Laboratory of Rail Traffic Control and Safety, Beijing Laboratory of Urban Mass Transit, Beijing Key Laboratory of Urban Mass Transit Automation and Control, Beijing Jiaotong University, China ' State Key Laboratory of Rail Traffic Control and Safety, Beijing Laboratory of Urban Mass Transit, Beijing Key Laboratory of Urban Mass Transit Automation and Control, Beijing Jiaotong University, China
Abstract: Amid concerns about rising energy prices and environmental issues, the optimisation of automatic train operation (ATO) is significant for energy-efficient operation of trains. Different from the previous researches, this paper presents a more accurate model of the train energy consumption by considering the control strategy of ATO. It then proposes two modifications of tabu search (TS) algorithm, which are named as up-down modification (UDM) and left-right modification (LRM), to optimise train recommended speed curve based on the presented model. The simulation results based on the Beijing Subway illustrate that the proposed approaches can achieve a good performance on energy reduction. Sensitivities of the parameters are analysed to illustrate that the proposed approach is practical and meaningful. In addition, the computation time is within 2 s, which is short enough to be applied in the real-time control of trains.
Keywords: energy optimisation; recommended speed curve; energy efficient operations; control strategy; automatic train operation; ATO; tabu search; energy efficiency; single trains; energy consumption; simulation; Beijing Subway; China; underground railways.
International Journal of Simulation and Process Modelling, 2016 Vol.11 No.2, pp.154 - 163
Received: 29 May 2015
Accepted: 03 Nov 2015
Published online: 23 Jun 2016 *