SAPI: statistical analysis of propagation of incidents. A new approach for rescheduling trains after disruptions

DOI10.1016/j.ejor.2011.05.047zbMath1237.90034OpenAlexW1581614536MaRDI QIDQ421648

Rodrigo Acuna-Agost, Dominique Feillet, Serigne Gueye, Philippe Yves Paul Michelon

Publication date: 14 May 2012

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2011.05.047

zbMATH Keywords

integer programmingtransportationtimetablinglogistic regressiondisruption managementrailways

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Transportation, logistics and supply chain management (90B06)

Related Items (3)

Managing the ship movements in the Port of Venice ⋮ An iterative approach for reducing the impact of infrastructure maintenance on the performance of railway systems ⋮ Real-time optimization strategy for single-track high-speed train rescheduling with disturbance uncertainties: a scenario-based chance-constrained model predictive control approach

Uses Software

• STATGRAPHICS
• CPLEX

Cites Work

• A constraint-based interactive train rescheduling tool
• Discrete optimization in public rail transport
• Local branching
• R. A. Fisher and the making of maximum likelihood 1912--1922
• Scheduling railway traffic at a construction site
• A Survey of Optimization Models for Train Routing and Scheduling
• A MIP-based local search method for the railway rescheduling problem
• Disruption Management in Passenger Railway Transportation
• Operations Research in passenger railway transportation
• Heuristic approach to train rescheduling

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