DocumentCode :
400116
Title :
The application of cusp Catastrophe theory in traffic flow prediction
Author :
Ya-Ping, Zhang ; Yu-Long, Pei
Author_Institution :
Sch. of Transp. Sci. & Eng., Harbin Inst. of Technol., China
Volume :
1
fYear :
2003
fDate :
12-15 Oct. 2003
Firstpage :
628
Abstract :
Traffic flow prediction plays an important role in traffic management and control. The focus of this paper is to discuss the application of cusp catastrophe theory in traffic flow prediction in China. Five properties of a catastrophe system are outlined briefly and the data collected from freeways of Zhujiang Delta, Guangdong province, China are examined to ascertain whether they exhibit qualitative properties and attributes of the catastrophe model. This paper also tries to describe the relationships between traffic parameters by using cusp catastrophe theory and to acquire highway capacity and corresponding speed prediction value through suitable transformation of catastrophe model. The forecasting value of speed and capacity for freeway sections are given based on the catastrophe model. Furthermore, speed-flow curve on freeway is drawn out by means of plotting out congested and uncongested traffic flow and the capacity value for the same freeway is also obtained from the speed-flow model curve to test the feasibility of the application of cusp catastrophe theory in traffic flow. Finally, prospects and problems of its application in traffic flow research in China are discussed.
Keywords :
catastrophe theory; regression analysis; road traffic; traffic control; China freeways; Guangdong province freeways; Zhujiang delta freeways; catastrophe system; congested traffic flow; cusp catastrophe theory; regression analysis; speed forecasting value; speed-flow curve; traffic control; traffic flow prediction; traffic management; traffic parameters; uncongested traffic flow; Delay; Displays; Mathematical model; Predictive models; Road transportation; Testing; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems, 2003. Proceedings. 2003 IEEE
Print_ISBN :
0-7803-8125-4
Type :
conf
DOI :
10.1109/ITSC.2003.1252028
Filename :
1252028
Link To Document :
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