Optimal Train Operation for Minimum Energy Consumption Considering Schedule Adherence

This paper presents an optimization approach for rail transit to minimize energy consumption used for inter-station run. The approach optimizes the interval of train motion regimes applied for train control by considering track geometry, speed limit, and scheduled travel time using Simulated Annealing algorithm. The model is applied to the real case study of the Metro-North Commuter Railroad. The most energy efficient train control, or called golden run, associated with speed limits, track geometry, and schedule adherence are identified. A sensitivity analysis is conducted, and the relationship between model parameters and control variables are discussed.