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Pregled bibliografske jedinice broj: 636202

Calibration of microsimulation traffic model using neural network approach

Ištoka Otković, Irena; Tollazzi, Tomaž; Šraml, Matjaž
Calibration of microsimulation traffic model using neural network approach // Expert systems with applications, 40 (2013), 15; 5965-5974 doi:10.1016/j.eswa.2013.05.003 (međunarodna recenzija, članak, znanstveni)

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Naslov
Calibration of microsimulation traffic model using neural network approach

Autori
Ištoka Otković, Irena ; Tollazzi, Tomaž ; Šraml, Matjaž

Izvornik
Expert systems with applications (0957-4174) 40 (2013), 15; 5965-5974

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
calibration; microsimulation traffic model; VISSIM; neural network; roundabout; validation

Sažetak
This paper presents the results of research on the applicability of neural networks in the process of computer calibration of a microsimulation traffic model. VISSIM microsimulation model is used for calibration done at the example of roundabouts in an urban area. The calibration method is based on the prediction of a neural network for one traffic indicator, i.e. for the traveling time between measuring points. Besides the traveling time, the calibration process further/also involves a comparison between the modeled and measured queue parameters at the entrance to the intersection. The process of validation includes an analysis of traveling time and queue parameters on new sets of data gathered both at the modeled and at a new roundabout. A comparison of the traffic indicators measured in the field and those simulated with the calibrated and uncalibrated microsimulation traffic model provides an insight into the performance of the calibration procedure.

Izvorni jezik
Engleski

Znanstvena područja
Građevinarstvo, Računarstvo, Tehnologija prometa i transport



POVEZANOST RADA

Ustanove:
Građevinski i arhitektonski fakultet Osijek

Profili:

Avatar Url Irena Ištoka Otković (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada doi www.sciencedirect.com ac.els-cdn.com

Citiraj ovu publikaciju:

Ištoka Otković, Irena; Tollazzi, Tomaž; Šraml, Matjaž
Calibration of microsimulation traffic model using neural network approach // Expert systems with applications, 40 (2013), 15; 5965-5974 doi:10.1016/j.eswa.2013.05.003 (međunarodna recenzija, članak, znanstveni)
Ištoka Otković, I., Tollazzi, T. & Šraml, M. (2013) Calibration of microsimulation traffic model using neural network approach. Expert systems with applications, 40 (15), 5965-5974 doi:10.1016/j.eswa.2013.05.003.
@article{article, author = {I\v{s}toka Otkovi\'{c}, Irena and Tollazzi, Toma\v{z} and \v{S}raml, Matja\v{z}}, year = {2013}, pages = {5965-5974}, DOI = {10.1016/j.eswa.2013.05.003}, keywords = {calibration, microsimulation traffic model, VISSIM, neural network, roundabout, validation}, journal = {Expert systems with applications}, doi = {10.1016/j.eswa.2013.05.003}, volume = {40}, number = {15}, issn = {0957-4174}, title = {Calibration of microsimulation traffic model using neural network approach}, keyword = {calibration, microsimulation traffic model, VISSIM, neural network, roundabout, validation} }
@article{article, author = {I\v{s}toka Otkovi\'{c}, Irena and Tollazzi, Toma\v{z} and \v{S}raml, Matja\v{z}}, year = {2013}, pages = {5965-5974}, DOI = {10.1016/j.eswa.2013.05.003}, keywords = {calibration, microsimulation traffic model, VISSIM, neural network, roundabout, validation}, journal = {Expert systems with applications}, doi = {10.1016/j.eswa.2013.05.003}, volume = {40}, number = {15}, issn = {0957-4174}, title = {Calibration of microsimulation traffic model using neural network approach}, keyword = {calibration, microsimulation traffic model, VISSIM, neural network, roundabout, validation} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus

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