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@article{67841, author = {Hanzl, Jiří and Bartuška, Ladislav and Ližbetin, Ján}, article_location = {Warsaw, Poland}, article_number = {4}, keywords = {classification of roads; road traffic data mining; traffic variations; urban road traffic}, language = {eng}, issn = {2084-476X}, journal = {The Archives of Automotive Engineering – Archiwum Motoryzacji}, title = {URBAN TRAFFIC DETECTORS DATA MINING FOR DETERMINATION OF VARIATIONS IN TRAFFIC VOLUMES}, url = {http://www.aaejournal.com/pdf-131596-60856?filename=Urban%20Traffic%20Detectors.pdf}, volume = {90}, year = {2020} }
TY - JOUR ID - 67841 AU - Hanzl, Jiří - Bartuška, Ladislav - Ližbetin, Ján PY - 2020 TI - URBAN TRAFFIC DETECTORS DATA MINING FOR DETERMINATION OF VARIATIONS IN TRAFFIC VOLUMES JF - The Archives of Automotive Engineering – Archiwum Motoryzacji VL - 90 IS - 4 SP - 15-31 EP - 15-31 PB - Łukasiewicz Research Network - Automotive Industry Institute SN - 2084476X KW - classification of roads KW - road traffic data mining KW - traffic variations KW - urban road traffic UR - http://www.aaejournal.com/pdf-131596-60856?filename=Urban%20Traffic%20Detectors.pdf N2 - This paper analyses road traffic volumes in the urban environment for the purpose of traffic planning and creation of traffic models. For modelling traffic in a certain area, the initial information about transport demand and distribution in given area is required. The demand for transport is further re-distributed to the transport network and measured against the current road traffic volumes / intensity of traffic. Traffic volumes over time are characterized by various periodic and non-periodic influences (variations). By studying these variations, the tools can be specified for making the final estimate of traffic volumes for a specific time period, a specific type of road or specific vehicle category, and for improving the traffic models for a specific area. In this paper, the authors study time variations in traffic volumes using the data obtained from vehicle detectors for monitoring traffic located on roads in the city of Ceske Budejovice, the Czech Republic. ER -
HANZL, Jiří, Ladislav BARTUŠKA a Ján LIŽBETIN. URBAN TRAFFIC DETECTORS DATA MINING FOR DETERMINATION OF VARIATIONS IN TRAFFIC VOLUMES. \textit{The Archives of Automotive Engineering – Archiwum Motoryzacji}. Warsaw, Poland: Łukasiewicz Research Network - Automotive Industry Institute, roč.~90, č.~4, s.~15-31. ISSN~2084-476X. 2020.
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