Timetable optimisation in metro systems is typically a multi-objective decision problem involving both social and passengers’ benefits. Based on the train operation and passenger demand data, this study develops a bi-objective timetable optimisation model to reduce both passenger time and carbon emission of train operation. Firstly, the cooperative scheduling rule of multiple trains within the same electricity supply section is analysed. The tractive energy consumption and utilisation of regenerative braking energy are calculated with a set of kinematical equations. The carbon emission is formulated according to the calculations of energy consumption. Meanwhile, a passenger time calculation function is established by analysing the real-world passenger demand data. Secondly, a bi-objective integer programming model with dwell time control is formulated, and a linearly weighted compromise algorithm and a heuristic algorithm are designed to find the optimal solution. Finally, a numerical example is presented based on the passenger and operation data from the Beijing Metro Yizhuang Line. The results show that the best found timetable can achieve a good performance on both carbon emission and passenger time in comparison with the currently used timetable.
Metro timetable optimisation for minimising carbon emission and passenger time: a bi-objective integer programming approach
IET Intelligent Transport Systems ; 12 , 7 ; 673-681
2018-03-21
9 pages
Article (Journal)
Electronic Resource
English
train operation , rail traffic control , biobjective integer programming approach , energy consumption , cooperative scheduling rule , passenger demand data , passenger time minimization , metro timetable optimisation , integer programming , carbon emission minimization , tractive energy consumption , electricity supply section , regenerative braking energy , heuristic algorithm , air pollution control , minimisation , dwell time control , social benefit , passenger benefit , kinematical equations , Beijing Metro Yizhuang Line , linearly weighted compromise algorithm
Metadata by IET is licensed under CC BY 3.0
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