Abstract
Abstract In this study, two approaches are presented to account for vehicle circulations when incorporating GTFS data into the agent-based simulation framework MATSim. The first approach directly builds on an existing data converter; the second approach integrates the external public transit planning tool LinTim into MATSim. Both proposed methodological approaches are successfully used to generate transit schedules with vehicle circulations. Simulation experiments are carried out for the Greater Berlin area and reveal an overall minor impact on the public transit performance from the transport users’ perspective. The number of required public transit vehicles is significantly reduced compared to previous version of the GTFS data converter. Reducing the turnaround time leads to a further reduction in vehicles, however, provides reduced slack times to compensate for delays. The implementation of a disruption shows that the bunching phenomenon and delay propagation is now represented by the model. Thus, the proposed methodology allows for a more sophisticated investigation of transit schedules and delay management concepts.
Highlights
In this study, two approaches are presented to account for vehicle circulations when incorporating GTFS data into the agent-based sInimthuilsatsitoundyfr,atmwoewaoprpkroMacAhTesSiamre. pTrheesefinrtsetdatpoparcocaocuhndtifroerctvlyehbiculieldcsirocnulaantioenxsiswtinhgendiantcaocropnovraetritnegr;GthTeFsSecdoantadianptoprtohaecahgienntte-gbraasteeds tshime uexlatteironnalfrpaumbleiwc otrraknMsitApTlaSninmin. gThtoeofil rLsitnaTpipmroianctoh MdiAreTcStliymb.uBilodtshopnroapnoseexdismtinegthdoadtoalocgoincvaelrateprp;rtohaechseecsoanred saupcpcreosascfhulliyntuegseradtetos gtheeneerxatteerntraalnpsuitblsicchterdanusleitspwlaitnhnivneghitcoloel cLirincuTliamtioinntso
The differences of the average scores as well as the average travel time of a PT leg are slightly higher in the LinTim simulation compared to the extended GTFS2MATSim approach, the circulations have a slightly stronger impact on the simulated transport users
The transit schedules generated with both vehicle circulation approaches require significantly fewer PT vehicles compared to the reference scenario where a transit vehicle is generated for each route’s first departure
Summary
Two approaches are presented to account for vehicle circulations when incorporating GTFS data into the agent-based sInimthuilsatsitoundyfr,atmwoewaoprpkroMacAhTesSiamre. pTrheesefinrtsetdatpoparcocaocuhndtifroerctvlyehbiculieldcsirocnulaantioenxsiswtinhgendiantcaocropnovraetritnegr;GthTeFsSecdoantadianptoprtohaecahgienntte-gbraasteeds tshime uexlatteironnalfrpaumbleiwc otrraknMsitApTlaSninmin. gThtoeofil rLsitnaTpipmroianctoh MdiAreTcStliymb.uBilodtshopnroapnoseexdismtinegthdoadtoalocgoincvaelrateprp;rtohaechseecsoanred saupcpcreosascfhulliyntuegseradtetos gtheeneerxatteerntraalnpsuitblsicchterdanusleitspwlaitnhnivneghitcoloel cLirincuTliamtioinntso. Two approaches are presented to account for vehicle circulations when incorporating GTFS data into the agent-based sInimthuilsatsitoundyfr,atmwoewaoprpkroMacAhTesSiamre. RTeh. iIsnytiheilsdsstaudmy,oMreAreTaSliismti’cs rteoporlecsheanintatiisoenxotefntdheedPbTysaysctoenmvearntedr awllhoiwchs faourtoamddaittiicoanllayl generates vehicle circulations. This yields a more realistic representation of the PT system and allows for additional. The first approach is a software extension which is directly integrated into MATSim’s toolchain and extends an existing GTFS data converter (GTFS2MATSim). This approach does not depend on any external transport planning software. The second approach incorporates the open-source planning software LinTim (Lineplanning and Timetabling, https://www.lintim.net) into MATSim, in particular a LinTim tool for the optimization of vehicle circulations.
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