Optimization of Asymmetric Timetable in Urban Rail Transit Under the Scenario of Tidal Passenger Flow
- Resource Type
- Conference
- Authors
- Zhang, Jinghui; Chen, Xi; Li, Borui; Liu, Baoming
- Source
- 2022 41st Chinese Control Conference (CCC) Chinese Control Conference, 2022 41st. :1910-1915 Jul, 2022
- Subject
- Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Rails
Energy efficiency
Mathematical models
Recycling
Optimization
Urban Rail Transit
Train Scheduling
Timetable
Tidal Passenger Flow
Regenerative Energy
- Language
- ISSN
- 1934-1768
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.