Pages that link to "Item:Q2184161"
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The following pages link to A multi-objective optimization-simulation approach for real time rescheduling in dense railway systems (Q2184161):
Displaying 13 items.
- Emergency railway wagon scheduling by hybrid biogeography-based optimization (Q336873) (← links)
- On-line reschedule optimization for passenger railways in case of emergencies (Q340234) (← links)
- A geometric model for an effective rescheduling after reducing service in public transportation systems (Q340235) (← links)
- A branch and bound algorithm and iterative reordering strategies for inserting additional trains in real time: a case study in Germany (Q1665246) (← links)
- A fuzzy optimization model for high-speed railway timetable rescheduling (Q1936036) (← links)
- A new multi-objective optimization formulation for rail-car fleet sizing problems (Q1958658) (← links)
- Vehicle dispatching plan for minimizing passenger waiting time in a corridor with buses of different sizes: model formulation and solution approaches (Q2077989) (← links)
- A decision making procedure for robust train rescheduling based on mixed integer linear programming and data envelopment analysis (Q2294838) (← links)
- Solving multi-objective optimization formulation for fleet planning in a railway industry (Q2430600) (← links)
- Rescheduling Dense Train Traffic over Complex Station Interlocking Areas (Q3649174) (← links)
- Public transport for smart cities: recent innovations and future challenges (Q6106754) (← links)
- Capturing complexity over space and time via deep learning: an application to real-time delay prediction in railways (Q6168572) (← links)
- Explainable real-time predictive analytics on employee workload in digital railway control rooms (Q6572886) (← links)
