Modelling and optimisation of railway crew scheduling

(2014) Modelling and optimisation of railway crew scheduling. PhD thesis, Queensland University of Technology.

Description

This research develops optimisation models and algorithms for railway crew scheduling problem (CSP). The scheduling criterion is to minimise the number of crew duties by reducing idle transition times while taking into account a complex set of railway crew scheduling related constraints. The integration of relief opportunities period (ROP) into the models and algorithms would enable the train crew to be relieved at any relief point within the time period of relief opportunities. This will enhance the robustness of the schedule and provide a better representation of real railway crew scheduling conditions. The models and algorithms are general and can be easily adapted to different locations and modes of transportation. Furthermore, the proposed models and algorithms can be extended to the integration of vehicle and CSPs with ROP.

Impact and interest:

1 citations in Web of Science®
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Full-text downloads:

159 since deposited on 19 Nov 2014
17 in the past twelve months

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ID Code: 78444
Item Type: QUT Thesis (PhD)
Supervisor: Kozan, Erhan & Karim, Azharul
Keywords: Combinatorial Optimisation, Constraint Programming, Constructive Heuristics, Hybrid Algorithms, Mathematical Programming, Metaheuristics, Railway Crew Scheduling, Simulated Annealing, Tabu Search.
Divisions: Past > QUT Faculties & Divisions > Science & Engineering Faculty
Past > Schools > School of Chemistry, Physics & Mechanical Engineering
Current > Schools > School of Mathematical Sciences
Institution: Queensland University of Technology
Deposited On: 19 Nov 2014 02:18
Last Modified: 16 Sep 2021 00:01