Optimal trajectory planning for trains – A pseudospectral method and a mixed integer linear programming approach

By Yihui Wang, B. Schutter, T. Boom, Bin Ning. 2013

223 citations recorded by the source corpus.

Subfields: Automotive Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/c530e0bc82229a8266602e91e338d76043f29d26

How researchers see this paper

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

In Automotive Engineering

1. Bin Ning
2. T. Boom
3. B. Schutter
4. Yihui Wang

In Industrial and Manufacturing Engineering

1. Jiateng Yin
2. Bin Ning
3. T. Boom
4. B. Schutter
5. Yihui Wang
6. Shuai Su
7. Yuan Cao
8. Xuekai Wang

In Mechanical Engineering

1. Jiateng Yin
2. Bin Ning
3. T. Boom
4. B. Schutter
5. Yihui Wang
6. Shuai Su
7. Yuan Cao
8. Xuekai Wang

Citations in the corpus

• Optimal trajectory planning for trains under fixed and moving signaling systems using mixed integer linear programming (2014, methodology): “Train model and the MILP approach26 In this section, the formulation of the optimal control problem and the MILP approach we27 proposed in Wang et al. (2013) are summarized.28 2.1.”
• An Energy-Efficient Train Operation Approach by Integrating the Metro Timetabling and Eco-Driving (2020, methodology): “Owing to the rapid computation time, the methods in [5]–[7], [9] have the potential to be incorporated in the real-time train control equipment.”