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Prethodno priopćenje
https://doi.org/10.17559/TV-20150529005745

Road traffic flow forewarning and control model with the slope of the change rate

Xiao Qiang   ORCID icon orcid.org/0000-0002-6696-7041 ; School of Traffic and Transportation, Lanzhou Jiao Tong University, Lanzhou 730070, China
He Ruichun ; School of Traffic and Transportation, Lanzhou Jiao Tong University, Lanzhou 730070, China
Yu Jianning ; School of Traffic and Transportation, Lanzhou Jiao Tong University, Lanzhou 730070, China
Zhang Wei ; School of Traffic and Transportation, Lanzhou Jiao Tong University, Lanzhou 730070, China
Ma Changxi ; School of Traffic and Transportation, Lanzhou Jiao Tong University, Lanzhou 730070, China

Puni tekst: engleski, pdf (2 MB) str. 185-191 preuzimanja: 210* citiraj
APA 6th Edition
Qiang, X., Ruichun, H., Jianning, Y., Wei, Z. i Changxi, M. (2017). Road traffic flow forewarning and control model with the slope of the change rate. Tehnički vjesnik, 24 (Supplement 1), 185-191. https://doi.org/10.17559/TV-20150529005745
MLA 8th Edition
Qiang, Xiao, et al. "Road traffic flow forewarning and control model with the slope of the change rate." Tehnički vjesnik, vol. 24, br. Supplement 1, 2017, str. 185-191. https://doi.org/10.17559/TV-20150529005745. Citirano 04.03.2021.
Chicago 17th Edition
Qiang, Xiao, He Ruichun, Yu Jianning, Zhang Wei i Ma Changxi. "Road traffic flow forewarning and control model with the slope of the change rate." Tehnički vjesnik 24, br. Supplement 1 (2017): 185-191. https://doi.org/10.17559/TV-20150529005745
Harvard
Qiang, X., et al. (2017). 'Road traffic flow forewarning and control model with the slope of the change rate', Tehnički vjesnik, 24(Supplement 1), str. 185-191. https://doi.org/10.17559/TV-20150529005745
Vancouver
Qiang X, Ruichun H, Jianning Y, Wei Z, Changxi M. Road traffic flow forewarning and control model with the slope of the change rate. Tehnički vjesnik [Internet]. 2017 [pristupljeno 04.03.2021.];24(Supplement 1):185-191. https://doi.org/10.17559/TV-20150529005745
IEEE
X. Qiang, H. Ruichun, Y. Jianning, Z. Wei i M. Changxi, "Road traffic flow forewarning and control model with the slope of the change rate", Tehnički vjesnik, vol.24, br. Supplement 1, str. 185-191, 2017. [Online]. https://doi.org/10.17559/TV-20150529005745
Puni tekst: hrvatski, pdf (2 MB) str. 185-191 preuzimanja: 189* citiraj
APA 6th Edition
Qiang, X., Ruichun, H., Jianning, Y., Wei, Z. i Changxi, M. (2017). Model za reguliranje toka cestovnog prometa padom promjene brzine. Tehnički vjesnik, 24 (Supplement 1), 185-191. https://doi.org/10.17559/TV-20150529005745
MLA 8th Edition
Qiang, Xiao, et al. "Model za reguliranje toka cestovnog prometa padom promjene brzine." Tehnički vjesnik, vol. 24, br. Supplement 1, 2017, str. 185-191. https://doi.org/10.17559/TV-20150529005745. Citirano 04.03.2021.
Chicago 17th Edition
Qiang, Xiao, He Ruichun, Yu Jianning, Zhang Wei i Ma Changxi. "Model za reguliranje toka cestovnog prometa padom promjene brzine." Tehnički vjesnik 24, br. Supplement 1 (2017): 185-191. https://doi.org/10.17559/TV-20150529005745
Harvard
Qiang, X., et al. (2017). 'Model za reguliranje toka cestovnog prometa padom promjene brzine', Tehnički vjesnik, 24(Supplement 1), str. 185-191. https://doi.org/10.17559/TV-20150529005745
Vancouver
Qiang X, Ruichun H, Jianning Y, Wei Z, Changxi M. Model za reguliranje toka cestovnog prometa padom promjene brzine. Tehnički vjesnik [Internet]. 2017 [pristupljeno 04.03.2021.];24(Supplement 1):185-191. https://doi.org/10.17559/TV-20150529005745
IEEE
X. Qiang, H. Ruichun, Y. Jianning, Z. Wei i M. Changxi, "Model za reguliranje toka cestovnog prometa padom promjene brzine", Tehnički vjesnik, vol.24, br. Supplement 1, str. 185-191, 2017. [Online]. https://doi.org/10.17559/TV-20150529005745

Sažetak
Real-time, accurate and efficiency short term traffic flow prediction is one of the key technologies to realize traffic flow guidance and traffic control, which has been widely concerned in the domain of ITS (Intelligent Transport System) during recent years. Through the study of the existing traffic flow prediction model, road traffic flow control model with the slope of the change rate is proposed. The model can find out abnormal point from the traffic flow time series by the use of the slope change rate, and it can analyse this trend of traffic flow changes for control purposes of traffic flow. The achieved results indicate that the algorithm is suitable for road traffic flow peak control problem and could be effective for road traffic flow control.

Ključne riječi
traffic flow; slope change rate; time series; abnormal data

Hrčak ID: 181258

URI
https://hrcak.srce.hr/181258

[hrvatski]

Posjeta: 660 *