Optimization of Asymmetric Timetable in Urban Rail Transit Under the Scenario of Tidal Passenger Flow

In urban rail transit, timetable optimization is an important approach to increase energy efficiency and improve passenger experience. With a limited number of inventory trains, it is a challenge to design an asymmetric timetable to match the train flow with the passenger flow while conserving energy as much as possible. In this work, a timetable-based state equation framework is developed and a nonlinear multi-objective optimization problem is established for energy efficiency and passenger experience. A case study illustrates that incorporating passenger and energy flow into train flow optimization helps to improve energy efficiency and passenger experience.