Critical Scenarios and Their Identification in Parallel Railroad Level Crossing Traffic Control Systems
Deterministic and stochastic Petri nets (DSPNs) are well utilized as a visual and mathematical formalism to model discrete event systems. This paper proposes to use them to model parallel railroad level crossing (LC) control systems. Their applications to both single- and double-track railroad lines are illustrated. The resulting models allow one to identify and thus avoid critical scenarios in such systems by conditions and events of the model that control the phase of traffic light alternations. Their analysis is performed to demonstrate how the models enforce the phase of traffic transitions by a reachability graph method. Their important properties are verified. To our knowledge, this is the first work that employs DSPNs to model a parallel railroad LC system and identify its critical scenarios for the purpose of their complete avoidance. This helps advance the state of the art in traffic safety related to the intersection of railroads and roadways.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
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Supplemental Notes:
- Abstract reprinted with permission of IEEE.
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Authors:
- Huang, Yi-Sheng
- Weng, Yi-Shun
- Zhou, Mengchu
- Publication Date: 2010
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: pp 968-977
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Serial:
- IEEE Transactions on Intelligent Transportation Systems
- Volume: 11
- Issue Number: 4
- Publisher: Institute of Electrical and Electronics Engineers (IEEE)
- ISSN: 1524-9050
- Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979
Subject/Index Terms
- TRT Terms: Grade crossing protection systems; Intelligent transportation systems; Petri nets; Railroad grade crossings; Traffic models; Traffic safety; Traffic simulation; Urban transportation
- Subject Areas: Highways; Operations and Traffic Management; Railroads; I70: Traffic and Transport; I85: Safety Devices used in Transport Infrastructure;
Filing Info
- Accession Number: 01333673
- Record Type: Publication
- Source Agency: UC Berkeley Transportation Library
- Files: TLIB
- Created Date: Mar 21 2011 2:15PM