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
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;
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
DOI :
10.1109/ICICTA.2010.105