@inbook{2edbc930201a473bbc479b6598ac675d,
title = "Stochastic Speed Control and Timetable Optimization",
abstract = "The speed control and timetable optimization approach for subway systems has recently attracted more attention because of its exemplary achievements in energy conservation. However, most studies often ignore the spatial and temporal uncertainties of train mass. This chapter introduces a stochastic subway timetable optimization and speed control model proposed by Yang et al.[1] to minimize the total traction energy consumption, where these real-world operating conditions are explicitly considered in the model formulation and solution algorithm.",
author = "Xiang Li and Xin Yang",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Singapore Pte Ltd.",
year = "2020",
doi = "10.1007/978-981-15-7785-7\_7",
language = "English",
series = "Uncertainty and Operations Research",
publisher = "Springer Nature",
pages = "95--116",
booktitle = "Uncertainty and Operations Research",
address = "Switzerland",
}