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Algorithms 2018,11, 55
theanalysisof theresultingdataandconclusions. Johannahas formulatedandimplementedthecorresponding
MIPformulation in java,whichwasapplied tosolve thesamedisturbancescenarios inorder toevaluate the level
ofoptimalityandefficiencyof thealgorithmicapproach. Both JohannaandOmidcontributedsignificantly to
writing themanuscript. Bothauthorshavereadandapprovedthefinalmanuscript.
Conflictsof Interest:Theauthorsdeclarenoconflictof interest.
AppendixA
TheMIPformulation isbasedonthemodeldevelopedbyTörnquistandPersson[13]. Themodel
was implemented in JavaandsolvedbyGurobi6.5.1. Let Jbethesetof trains,M thesetof segments,
definingtherail infrastructure,andO thesetofevents.Aneventcanbeseenasa timeslot requestby
a train foraspecificsegment. The index j isassociatedwithaspecific trainservice,andindexmwitha
specific infrastructuresegment,and iwiththeevent.Anevent isconnectedbothtoan infrastructure
segmentanda train. ThesetsOj⊆Oareorderedsetsof events foreach train j,whileOm⊆Oare
orderedsetsofevents foreachsegmentm.
Eacheventhasapointoforigin,mj,i,which isused fordeterminingachange in thedirection
of trafficonaspecific track. Further, foreachevent, there isascheduledstart timeandanendtime,
denotedbybinitalj,i ande inital
j,i ,whicharegivenbytheinitial timetable. Thedisturbanceismodelledusing
parametersbstaticj,i and e static
j,i ,denotingthepre-assignedstartandendtimeof thealreadyactiveevent.
Therearetwotypesofsegments,modelingtheinfrastructurebetweenstationsandwithinstations.
Eachsegmentmhasanumberofparallel tracks, indicatedbythesetsMm andeachtrackrequiresa
separation in timebetweenitsevents (one train leavingthe trackandthenextenters thesametrack).
Theminimumtimeseparationbetweentrainsonasegment isdenotedbyΔMeetingm for trains that travel
inoppositedirections,andΔFollowingm for trains that followeachother; theseparation isonlyrequired if
the trainsuse thesametrackonthatspecificsegment.
Theparameter psj,i indicates if event i includesaplannedstopat theassociatedsegment (i.e., it
is thennormallyastation). Theparameterdj,i represents theminimumrunningtime,pre-computed
fromthe initial schedule, if event ioccursona linesegmentbetweenstations. Forstationsegments,dj,i
corresponds to theminimumdwell timeofcommercial stops,where transfersmaybescheduled.
Thevariables in themodelareeitherbinaryorcontinuous. Thecontinuousvariablesdescribe the
timingof theeventsandthedelay,andthebinaryvariablesdescribe thediscretedecisions to takeon
themodelconcerningtheselectionofa trackonsegmentswithmultiple tracksorplatforms,andthe
orderof trains thatwant tooccupythesametrackand/orplatform. Thecontinuous,non-negative,
variablesarexbeginj,i ,x end
j,i , and zj,i (delayof theevent i, i∈O, exceedingμ timeunits,which is set to
threeminuteshere).
Thevariablesxendj,i andx begin
j,i aremodelling theresourceallocation,wherearesource isaspecific
tracksegment. Thearrival timeataspecificsegment isgivenbyxbeginj,i anddeparture fromaspecific
segment isgivenbyxendj,i foraspecific train. Thebinaryvariablesaredefinedas:
qj,i,u= {
1,if event iuses tracku, i∈Om,u∈Mm,m∈M, j∈ J
0,otherwise
γj,i,j′,i′= {
1,if event ioccursbeforeevent i′, i∈Om,m∈M : i< i′, j and j′ ∈ J
0,otherwise
λj,i,j′,i′= {
1,if event i is rescheduledtooccurafterevent i′, i∈Om,m∈M : i< i′, j and j′ ∈ J
0,otherwise
111
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Buch Algorithms for Scheduling Problems"
Algorithms for Scheduling Problems
- Titel
- Algorithms for Scheduling Problems
- Autoren
- Frank Werner
- Larysa Burtseva
- Yuri Sotskov
- Herausgeber
- MDPI
- Ort
- Basel
- Datum
- 2018
- Sprache
- englisch
- Lizenz
- CC BY 4.0
- ISBN
- 978-3-03897-120-7
- Abmessungen
- 17.0 x 24.4 cm
- Seiten
- 212
- Schlagwörter
- Scheduling Problems in Logistics, Transport, Timetabling, Sports, Healthcare, Engineering, Energy Management
- Kategorien
- Informatik
- Technik