DocumentCode
3204329
Title
Traffic Congestion Identification Method Based on GPS Equipped Floating Car
Author
Chang Ande ; Jiang Guiyan ; Niu Shifeng
Author_Institution
Coll. of Transp., Jilin Univ., Changchun, China
Volume
3
fYear
2010
fDate
11-12 May 2010
Firstpage
1069
Lastpage
1071
Abstract
According to the fact that the application conditions needed for traditional link average speed estimation models based on GPS equipped floating cars are too harsh to meet data demands with high precision and low cost for users, which leads to the poor effects of traffic congestion identification system, a new model for estimating link average speed is designed considering the shortcomings of traditional models, and a method for identifying traffic congestion is put forward with link average speed obtained above. Then, the method is verified using measured GPS and GIS data based on a part road network of a large urban. The results show that the precision of traffic congestion identification by the method in this paper is much higher.
Keywords
Global Positioning System; geographic information systems; road traffic; road vehicles; GIS data method; GPS equipped floating car; link average speed estimation models; road network; traffic congestion identification method; Automation; Automotive engineering; Computational modeling; Global Positioning System; Laboratories; Roads; Sampling methods; Telecommunication traffic; Traffic control; Vehicle dynamics; average speed; floating car; global position system; traffic congestion;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-4244-7279-6
Electronic_ISBN
978-1-4244-7280-2
Type
conf
DOI
10.1109/ICICTA.2010.105
Filename
5523297
Link To Document