Maintenance timetable planning based on mesoscopic infrastructure and the transport service intention
Tài liệu tham khảo
Bešinović, 2016, An integrated micro-macro approach to robust railway timetabling, Transp. Res. Part B Methodol., 87, 14, 10.1016/j.trb.2016.02.004
Bütikofer, 2019
Caimi, 2009
Caimi, 2011, The periodic service intention as a conceptual frame for generating timetables with partial periodicity, Transp. Plan. Technol., 34, 323, 10.1080/03081060.2011.577151
Caimi, 2011, Periodic railway timetabling with event flexibility, Networks, 57, 3, 10.1002/net.20379
Caprara, 2002, Modeling and solving the train timetabling problem, Oper. Res., 50, 851, 10.1287/opre.50.5.851.362
de Fabris, 2014, Automatic generation of railway timetables based on a mesoscopic infrastructure model, J. Rail Transp. Plann. Manag., 4, 2, 10.1016/j.jrtpm.2014.04.001
Friedrich
GAMS, 2018
2008
Herrigel, 2015
Howald, 2017
Liebchen, 2007, The modeling power of the periodic event scheduling problem: railway timetables – and beyond, vol. 4359, 3
Peeters, 2003
R
Schlechte, 2012
Schlechte, 2011, Micro–macro transformation of railway networks, J. Rail Transp. Plann. Manag., 1, 38, 10.1016/j.jrtpm.2011.09.001
Schöbel, 2006, Line planning with minimal travel time, 5th workshop on algorithmic methods and models for optimization of railways
Schrijver, 1994
Serafini, 1989, A mathematical model for periodic scheduling problems, SIAM J. Discret. Math., 2, 550, 10.1137/0402049
SMA, 2016
SMA
Wüst, 2008, Sustainable global service intention as objective for controlling railway network operations in real time
Wüst, 2017, Kundenfreundliche und robuste Ersatzfahrpläne während Bau- und Unterhaltsintervallen, ETR Swiss/Wissen, 10, 57
Wüst, 2018, Periodic timetabling with ‘Track Choice’-PESP based on given line concepts and mesoscopic infrastructure
Wüst, 2018, Development of a prototype for the automated generation of timetable scenarios specified by the transport service intention
Wüst, 2019, Improvement of maintenance timetable stability based on iteratively assigning event flexibility in FPESP