Estimating Energy-saving Capability of Urban Rail Timetable Using Optimized Train Operation Strategy

Abstract

This paper focuses on the estimation of the energy-saving capability of timetable for urban rail transit. The energy-saving feature of the timetable may not be the first aim during the establishing stage. To enhance the efficiency of energy conservation, a solution of estimating energy-saving space for a given timetable is presented. In this solution, potential train operation speed profiles are involved based on the time-space constraint from the schedule data. Optimization strategy for driving remiges is introduced to predict probable train operations for an energy-saving target. With the integration of top-stage train schedule and possible driving remiges at the bottom layer, we present a general scheme for estimating the achievable optimization space to reduce the energy consumption in field operation. Timetable from Batong Line in Beijing Metro is utilized to demonstrate the energy-saving capability when an optimized train operation strategy is adopted. Results illustrate effectiveness of this solution and show the potential in generating customized suggestions for future update of the timetable.