Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/88992
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dc.contributor.authorMelnikov, Valentin R.en
dc.contributor.authorKrzhizhanovskaya, Valeria V.en
dc.contributor.authorBoukhanovsky, Alexander V.en
dc.contributor.authorSloot, Peter M. A.en
dc.date.accessioned2018-09-21T04:26:17Zen
dc.date.accessioned2019-12-06T17:15:26Z-
dc.date.available2018-09-21T04:26:17Zen
dc.date.available2019-12-06T17:15:26Z-
dc.date.issued2015en
dc.identifier.citationMelnikov, V. R., Krzhizhanovskaya, V. V., Boukhanovsky, A. V., & Sloot, P. M. A. (2015). Data-driven modeling of transportation systems and traffic data analysis during a major power outage in the Netherlands. Procedia Computer Science, 66, 336-345. doi:10.1016/j.procs.2015.11.039en
dc.identifier.issn1877-0509en
dc.identifier.urihttps://hdl.handle.net/10356/88992-
dc.identifier.urihttp://hdl.handle.net/10220/46066en
dc.description.abstractEfficient methods and tools for road network planning and traffic management are critically important in the ever more urbanized world. The goal of our research is the development of a data-driven multiscale modeling approach for accurate simulation of road traffic in real-life transportation networks, with applications in real-time decision support systems and urban planning. This paper reviews the multiscale traffic models, describes the traffic sensor data collected from 25000 sensors along the arterial roads in the Netherlands, and discusses the applicability of sensor data to model calibration and validation on each modeling scale. We also present a road network graph model and the reconstructed Dutch road network. Finally, we show the results of traffic data analysis during the major power outage in North Holland on 27 March 2015, paying special attention to one of the most affected locations around the A9/E19 interchange near Amsterdam airport Schiphol.en
dc.format.extent10 p.en
dc.language.isoenen
dc.relation.ispartofseriesProcedia Computer Scienceen
dc.rights© 2015 The Authors. Published by Elsevier B.V.. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en
dc.subjectDRNTU::Engineering::Computer science and engineeringen
dc.subjectTransportation Systemsen
dc.subjectData-driven Modelingen
dc.titleData-driven modeling of transportation systems and traffic data analysis during a major power outage in the Netherlandsen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Computer Science and Engineeringen
dc.identifier.doi10.1016/j.procs.2015.11.039en
dc.description.versionPublished versionen
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