Open AccessTwo‐step method to reduce metro transit energy consumption by optimising speed profile and timetable
Author(s) -
Jin Bo,
Sun Pengfei,
Wang Qingyuan,
Feng Xiaoyun
Publication year - 2020
Publication title -
iet intelligent transport systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.579
H-Index - 45
eISSN - 1751-9578
pISSN - 1751-956X
DOI - 10.1049/iet-its.2019.0103
Subject(s) - headway , dwell time , energy consumption , automotive engineering , regenerative brake , energy (signal processing) , bottleneck , engineering , simulation , computer science , transport engineering , embedded system , brake , mathematics , electrical engineering , medicine , clinical psychology , statistics
With the rising energy prices and increasing environmental awareness, the energy efficiency of metro transit system has attracted much attention in recent years. This study proposes a two‐step optimisation method to optimise speed profile and timetable, aiming to reduce the operational energy consumption of metro transit system. First, a coasting point searching algorithm is designed to reduce tractive energy consumption by optimising speed profile and running time distribution scheme. Then, a mixed‐integer linear programming model is constructed to maximise the overlap time between the accelerating and braking phases by optimising headway and dwell time, in order to improve the utilisation of regenerative braking energy (RBE). Furthermore, numerical simulations are presented based on the data from a Guangzhou Metro Line. The results show that the tractive energy consumption can be reduced by 8.46% and the utilisation of RBE can be improved by 11.6%.