Title :
Automatic traffic congestion identification method of expressway based on gain amplifier theory
Author :
Guiyan Jiang ; Shifeng Niu ; Chang, Andrea ; Zhiqiang Meng ; Chunqin Zhang
Author_Institution :
State Key Lab. of Automotive Dynamic Simulation, Jilin Univ., Changchun, China
Abstract :
This paper proposes a method for application in automatic traffic congestion identification method (ACI) using gain amplifier theory. The road segment dividing method is given in this paper, and the ACI method of road lean, road cross-section and natural road segment are proposed to identify the traffic state of expressway. The performance of ACI method is evaluated using real and simulation data. The experimental results indicate that the proposed ACI method of lean produced satisfactory DR with deemed acceptable FAR using traffic data of three time scales. The ACI method of natural road segment is suit for estimating the traffic state of natural road segment.
Keywords :
road traffic; traffic information systems; ACI method; automatic traffic congestion identification; expressway traffic state; gain amplifier theory; natural road segment; road cross-section; road lean; road segment dividing method; road traffic; traffic state estimation; Automotive engineering; Detectors; Educational institutions; Laboratories; Management information systems; Road transportation; State estimation; Telecommunication traffic; Traffic control; Vehicle dynamics; ACI; gain amplifier theory; natural road segment;
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
DOI :
10.1109/ICACC.2010.5486725