Online distributed cooperative model predictive control of energy-saving trajectory planning for multiple high-speed train movements

Author:

Yan Xihui,Cai Baigen,Ning Bin,ShangGuan WeiORCID

Funder

National International Scientific and Technological Cooperation Project

State Key Program of National Natural Science Foundation of China

National Key Technology R&D Program of China

Publisher

Elsevier BV

Subject

Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference50 articles.

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2. The key principles of optimal train control—Part 2: Existence of an optimal strategy, the local energy minimization principle, uniqueness, computational techniques;Albrecht;Transport. Res. Part B.,2015

3. Chang, C.S., Xu, D.Y., Quek, H.B., 1999. Pareto-optimal set based multiobjective tuning of fuzzy automatic train operation for mass transit system, in: IEE Proc – Electr. Power Appl., vol. 146 (5), pp. 577–583.

4. Control of metro-trains equipped with onboard supercapacitors for energy saving and reduction of power peak demand;Ciccarelli;Transport. Res. Part C,2012

5. An evolutionary multi-objective approach for speed tuning optimization with energy saving in railway management;Chevrier,2010

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