An efficient solution approach for real-world driver scheduling problems in urban bus transportation

DOI10.1007/S10100-012-0274-3zbMath1267.90066OpenAlexW2077876424MaRDI QIDQ351556

Attila Tóth, Miklós Krész

Publication date: 8 July 2013

Published in: CEJOR. Central European Journal of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10100-012-0274-3

zbMATH Keywords

decision supportdriver schedulingoptimization for public transportationreal-world applications

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Transportation, logistics and supply chain management (90B06) Deterministic scheduling theory in operations research (90B35) Case-oriented studies in operations research (90B90)

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Cites Work

• Branching strategies to improve regularity of crew schedules in ex-urban public transit
• Staff scheduling and rostering: a review of applications, methods and models.
• A time-space network based exact optimization model for multi-depot bus scheduling
• A flexible system for scheduling drivers
• Modeling and Solving the Crew Rostering Problem
• Subgraph ejection chains and tabu search for the crew scheduling problem
• A Column Generation Approach to the Urban Transit Crew Scheduling Problem
• Genetic algorithms for the bus driver scheduling problem: a case study
• The Operator-Scheduling Problem: A Network-Flow Approach
• A Multicommodity Flow Approach to the Crew Rostering Problem
• A genetic algorithm for public transport driver scheduling

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