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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 id 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: hrvatski pdf 1.688 Kb

str. 185-191

preuzimanja: 536

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Puni tekst: engleski pdf 1.688 Kb

str. 185-191

preuzimanja: 476

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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

Datum izdavanja:

10.5.2017.

Podaci na drugim jezicima: hrvatski

Posjeta: 2.300 *