Online distributed cooperative model predictive control of energy-saving trajectory planning for multiple high-speed train movements
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An online distributed cooperative control approach for multiple high-speed train trajectories planning is proposed.

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The approach relies on exchanging of staged decision-making information among all high-speed trains.

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The energy-saving object is achieved using redundancy trip time through tuning ACO’s heuristic information parameter.

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