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International Journal of Intelligent Transportation Systems Research
Erschienen in: International Journal of Intelligent Transportation Systems Research 2/2017

05.05.2016

Impacts of High Resolution Data on Traveler Compliance Levels in Emergency Evacuation Simulations

verfasst von: Wei Lu, Lee D. Han, Cheng Liu, Budhendra L. Bhaduri

Erschienen in: International Journal of Intelligent Transportation Systems Research | Ausgabe 2/2017

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Abstract

In this paper, we conducted a comparison study of evacuation assignment based on Traffic Analysis Zones (TAZ) and high resolution LandScan USA Population Cells (LPC) with detailed real world roads network. A platform for evacuation modeling built on high resolution population distribution data and activity-based microscopic traffic simulation was proposed. This platform can be extended to any cities in the world. The results indicated that evacuee compliance behavior affects evacuation efficiency with traditional TAZ assignment, but it did not significantly compromise the performance with high resolution LPC assignment. The TAZ assignment also underestimated the real travel time during evacuation. This suggests that high data resolution can improve the accuracy of traffic modeling and simulation. The evacuation manager should consider more diverse assignment during emergency evacuation to avoid congestions.
Vorheriger Artikel A New Traffic Signal Control Method Based on Hybrid Colored Petri Net in Isolated Intersections
Nächster Artikel An Innovative Framework for Customised Intermodal and Multiobjective Trip Planner

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Metadaten
Titel
Impacts of High Resolution Data on Traveler Compliance Levels in Emergency Evacuation Simulations
verfasst von
Wei Lu
Lee D. Han
Cheng Liu
Budhendra L. Bhaduri
Publikationsdatum
05.05.2016
Verlag
Springer US
Erschienen in
International Journal of Intelligent Transportation Systems Research / Ausgabe 2/2017
Print ISSN: 1348-8503
Elektronische ISSN: 1868-8659
DOI
https://doi.org/10.1007/s13177-016-0125-z

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