A Subway Train Timetable Optimization Approach Based on Energy-Efficient Operation Strategy

By Shuai Su, Xiang Li, Tao Tang, Ziyou Gao. IEEE transactions on intelligent transportation systems (Print), 2012

364 citations recorded by the source corpus.

Subfields: Industrial and Manufacturing Engineering, Mechanical Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/37652d66e7aa592444d42a773572f5b27cac5c02

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Industrial and Manufacturing Engineering

1. Tao Tang
2. Jiateng Yin
3. Bin Ning
4. Shuai Su
5. Yuan Cao
6. Xiang Li
7. Xuekai Wang
8. Xin Yang

In Mechanical Engineering

1. Tao Tang
2. Jiateng Yin
3. Bin Ning
4. Shuai Su
5. Yuan Cao
6. Xiang Li
7. Xuekai Wang
8. Xin Yang

In Transportation

1. Tao Tang
2. Jiateng Yin
3. Bin Ning
4. Shuai Su
5. Yuan Cao
6. Xiang Li
7. Xuekai Wang
8. Xin Yang

Citations in the corpus

• An Energy-Efficient Train Operation Approach by Integrating the Metro Timetabling and Eco-Driving (2020, methodology): “[26] and Pengling and Goverde [27] used an iterative algorithm to obtain the driving strategy for the entire route, which integrated the driving strategy optimization and the distribution of the trip time.”
• A Survey on Energy-Efficient Train Operation for Urban Rail Transit (2016, methodology): “The results showed that the developed model can save 2.4% of energy for one trip in comparison with the energy-efficient driving method [25].”