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.
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Li, X., Yang, X. (2020). Stochastic Speed Control and Timetable Optimization. In: Subway Energy-Efficient Management. Uncertainty and Operations Research. Springer, Singapore. https://doi.org/10.1007/978-981-15-7785-7_7
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DOI: https://doi.org/10.1007/978-981-15-7785-7_7
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