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dc.contributor.authorWüst, Raimond Matthias-
dc.contributor.authorSteiner, Albert-
dc.date.accessioned2018-12-07T08:12:44Z-
dc.date.available2018-12-07T08:12:44Z-
dc.date.issued2012-
dc.identifier.urihttp://www.strc.ch/2012/Wuest_Steiner.pdfde_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/13638-
dc.description.abstractThe operation of rail transport systems has become an increasingly challenging task over the last decades. One of the main reasons is the conflict between the surge in passenger and freight demand and the capacity constraints of the railway system (on railway lines and at railway stations). To allow for a better understanding of the system dynamics in different operational states (including disruptions) and to have improved control strategies at hand, a multi-component simulation framework, representing an entire closed-loop operation environment for railway networks is currently under way. Based on this framework, railway network operators shall be enabled to investigate timetable and scenario generation, railway traffic operations, operational decision support, and operational performance criteria. In addition, the architecture of the framework shall allow for investigating the effects of moving from a distributed, event driven train control system (where involved operational parties are only weakly interacting) towards an increasingly integrated, time controlled and automated operational concept. This concept of tight time control requires all operational processes to be continuously monitored with respect to the production schedule. Deviations exceeding some pre-determined tolerance thresholds will results in a re-adjustment of the production plan in real-time. A dedicated rescheduling algorithm will be implemented to achieve this goal. This algorithm is based on a resource-constrained multi-commodity flow model for conflict-free train scheduling recently developed at ETH Zurich. To explicitly take into account the various parties (agents) involved, the system can be configured such that the agents behave according to existing or virtual profiles. For instance, train drivers might be technically enabled to follow new operational targets like re-adjusted train speeds while approaching conflict points. With this framework, scenarios for different operational and technical conditions as well as for internal and/or external disturbances can be investigated and the differences in performance with respect to customer satisfaction can be evaluated (represented for example by the overall train delay, cumulated passenger delays or timely availability of customer information). The framework, called Rail Transport Service Environment (RTSE), consists of three main modules: (i) a traffic simulation environment, (ii) a system state monitoring module, and (iii) the rescheduling algorithm mentioned above. The modules are interconnected through standard communication interfaces so that each module can be exchanged easily depending on the user environment. Railway traffic simulations are carried out using the dedicated railway simulation tool OpenTrack. The tool is used by various train operation and train infrastructure companies in order to test, amongst others, the feasibility of timetables or signalling scenarios. The simulated traffic scenarios will be interpreted by an automated monitoring module (including some threshold detection mechanism, where the thresholds depend on the operational policies, etc.), which compares actual and planned process states and induces rescheduling actions executed by the rescheduling algorithm, if required. Those rescheduling actions result in new (adjusted) state space plans, which take into account changes in process states and the eventually reduced availability of resources.de_CH
dc.language.isoende_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectNetwork performancede_CH
dc.subjectReal-time dispatchingde_CH
dc.subjectRail traffic simulationde_CH
dc.subjectRail traffic state monitoringde_CH
dc.subject.ddc370: Bildung und Erziehungde_CH
dc.titleA multi-component closed-loop control framework for rail traffic networksde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Datenanalyse und Prozessdesign (IDP)de_CH
zhaw.conference.details12th Swiss Transport Research Conference, Ascona, 2-4 May 2012de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedDigital Mobilityde_CH
Appears in collections:Publikationen School of Engineering

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Wüst, R. M., & Steiner, A. (2012). A multi-component closed-loop control framework for rail traffic networks. 12th Swiss Transport Research Conference, Ascona, 2-4 May 2012. http://www.strc.ch/2012/Wuest_Steiner.pdf
Wüst, R.M. and Steiner, A. (2012) ‘A multi-component closed-loop control framework for rail traffic networks’, in 12th Swiss Transport Research Conference, Ascona, 2-4 May 2012. Available at: http://www.strc.ch/2012/Wuest_Steiner.pdf.
R. M. Wüst and A. Steiner, “A multi-component closed-loop control framework for rail traffic networks,” in 12th Swiss Transport Research Conference, Ascona, 2-4 May 2012, 2012. [Online]. Available: http://www.strc.ch/2012/Wuest_Steiner.pdf
WÜST, Raimond Matthias und Albert STEINER, 2012. A multi-component closed-loop control framework for rail traffic networks. In: 12th Swiss Transport Research Conference, Ascona, 2-4 May 2012 [online]. Conference paper. 2012. Verfügbar unter: http://www.strc.ch/2012/Wuest_Steiner.pdf
Wüst, Raimond Matthias, and Albert Steiner. 2012. “A Multi-Component Closed-Loop Control Framework for Rail Traffic Networks.” Conference paper. In 12th Swiss Transport Research Conference, Ascona, 2-4 May 2012. http://www.strc.ch/2012/Wuest_Steiner.pdf.
Wüst, Raimond Matthias, and Albert Steiner. “A Multi-Component Closed-Loop Control Framework for Rail Traffic Networks.” 12th Swiss Transport Research Conference, Ascona, 2-4 May 2012, 2012, http://www.strc.ch/2012/Wuest_Steiner.pdf.


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