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. 2022 Jun 4;14(1):191–261. doi: 10.1007/s12469-022-00301-8

Table 4.

Selected/representative literature on timetabling under disturbances

References Focus Comments
Beśinović et al. (2016) Microscopic and macroscopic network model Hierarchical framework for timetable design
Beśinović et al. (2019) Issues of capacity extensions and stable timetables Heuristic model and MIP; case study for Netherlands railways
Bettinelli et al. (2017) Train rescheduling Iterated greedy heuristic
Cacchiani et al. (2012) Aperiodic train timetabling problem Lagrangian heuristic, case from the Italian Railways
Cacchiani and Toth (2018) Comprehensive survey on methods for robust timetabling
Fischetti and Monaci (2009) Introduction of light robustness
Khoshniyat and Peterson (2017) Technical minimum headway plus some buffer time MIP model; evaluated for Swedish rail
Louwerse and Huisman (2014) Service-oriented objective, maximize the service level offered to the passengers No explicit rolling stock rescheduling; MIP model; application to instances from Netherlands Railways
Lusby et al. (2018) Comprehensive survey up to 2018 Emphasis regarding rail operations
Qi et al. (2018) Robust integrated train timetabling and stop planning problem Case study for Wuhan-Guangzhou (China)
Schöbel (2014) Timetabling with light robustness
Shakibayifar et al. (2018) Train rescheduling Simulation-optimization approach
Veelenturf et al. (2016a) Minimize the number of cancelled and delayed train services ILP; adhering to infrastructure and rolling stock capacity constraints
Vromans et al. (2006) Reducing running time differences per track section Attempt to design homogeneous timetables, heuristics, simulation
Yuan et al. (2022) Integrated optimization model for train timetabling, rolling stock assignment, and a short-turning strategy Case study for a metro line in Beijing (China)