Energy optimisation of single train operation based on tabu search. (2016)

• Record Type: Journal Article
• Authors: Cao, Fang; Liu, Shuqi
• Is Part Of: International journal of simulation and process modelling. Volume 11:Number 2(2016)
• Page Start: 154
• Page End: 163
• Publication Date: 2016
• Subjects: 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; Management -- Computer simulation -- Periodicals; Mathematical models -- Periodicals; Operations research -- Periodicals; Simulation methods -- Periodicals; 003.05
• Languages: English
• ISSNs: 1740-2123

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.