Algorithms for railway crew management

被引:116
|
作者
Caprara, A
Fischetti, M
Toth, P
Vigo, D
Guida, PL
机构
[1] UNIV BOLOGNA,DEIS,BOLOGNA,ITALY
[2] UNIV UDINE,DIPARTIMENTO MATEMAT & INFORMAT,I-33100 UDINE,ITALY
关键词
crew management; railway optimization; algorithms; crew scheduling and rostering;
D O I
10.1007/BF02614314
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Crew management is concerned with building the work schedules of crews needed to cover a planned timetable. This is a well-known problem in Operations Research and has been historically associated with airlines and mass-transit companies. More recently, railway applications have also come on the scene, especially in Europe. In practice, the overall crew management problem is decomposed into two subproblems, called crew scheduling and crew rostering. In this paper, we give an outline of different ways of modeling the two subproblems and possible solution methods. Two main solution approaches are illustrated for real-world applications. In particular we discuss in some detail the solution techniques currently adopted at the Italian railway company, Ferrovie dello State SpA, for solving crew scheduling and rostering problems. (C) 1997 The Mathematical Programming Society, Inc. Published by Elsevier Science B.V.
引用
收藏
页码:125 / 141
页数:17
相关论文
共 50 条
  • [21] Optimizing Railway Crew Scheduling at DB Schenker
    Juette, Silke
    Albers, Marc
    Thonemann, Ulrich W.
    Haase, Knut
    INTERFACES, 2011, 41 (02) : 109 - 122
  • [22] Modelling and solving railway crew rostering problem
    Tapkan, Pinar
    Ozbakir, Lale
    Kulluk, Sinem
    Telcioglu, Burak
    JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, 2018, 33 (03): : 953 - 965
  • [23] A Review of Online Dynamic Models and Algorithms for Railway Traffic Management
    Corman, Francesco
    Meng, Lingyun
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 16 (03) : 1274 - 1284
  • [24] Crew pairing optimization with genetic algorithms
    Kornilakis, H
    Stamatopoulos, P
    METHODS AND APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2002, 2308 : 109 - 120
  • [25] Airline crew scheduling: Models and algorithms
    Wen, Xin
    Sun, Xuting
    Sun, Yige
    Yue, Xiaohang
    TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2021, 149
  • [26] Crew resource management
    Gordon, Suzanne
    NURSING INQUIRY, 2006, 13 (03) : 161 - 162
  • [27] Improving railway crew scheduling quality: A hybrid approach
    Goncalves, Rodrigo
    Lagrimante, Romilto
    Gomide, Fernando
    Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS, 2000, : 378 - 382
  • [28] Integrating Timetabling and Crew Scheduling at a Freight Railway Operator
    Bach, Lukas
    Dollevoet, Twan
    Huisman, Dennis
    TRANSPORTATION SCIENCE, 2016, 50 (03) : 878 - 891
  • [29] Research on optimization of Crew scheduling for high speed railway
    Zhu, Changfeng
    Shi, Gang
    Chen, Xiaohong
    Bing, Zeyi
    Journal of Information and Computational Science, 2014, 11 (16): : 5735 - 5742
  • [30] Railway crew capacity planning problem with connectivity of schedules
    Suyabatmaz, Ali Cetin
    Sahin, Guvenc
    TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2015, 84 : 88 - 100