DocumentCode
620464
Title
A comprehensive evaluation scheme of the traffic congestion
Author
Liu Ke-an ; Gu Feng ; Hu Zhi-kun ; Chen Xiao-long ; Wang wen-xiang
Author_Institution
Intell. Transp. Dept., Zhuzhou CSR Times Electr. Co., Ltd., Zhuzhou, China
fYear
2013
fDate
25-27 May 2013
Firstpage
4227
Lastpage
4231
Abstract
A congestion evaluation strategy which contained multi-index real-time evaluation and non-real-time evaluation was proposed in order to tackle the problem that the convention strategy can not evaluate traffic congestion effectively, because of the single index, incomprehensive type. In the real-time evaluation of this scheme, if data was missing seriously, the traveling speed should be taken as the only index to evaluate the traffic congestion, else the traveling speed, saturation and delay should be taken as the index to evaluate the traffic congestion by using running state classification. In the non-real-time evaluation, the traveling speed throughout one day should be taken as the independent variable to establish Gaussian mixture distribution model and the evaluation result could be get by analyzing this model. Simulation results indicate that the real-time evaluation and the non-real-time evaluation can analyze the traffic flow objectively and evaluate the traffic congestion effectively.
Keywords
Gaussian distribution; road traffic; Gaussian mixture distribution model; comprehensive evaluation scheme; independent variable; multi-index real-time evaluation; nonreal-time evaluation; running state classification; traffic congestion; traveling speed; Analytical models; Delays; Educational institutions; Indexes; Physics; Real-time systems; Simulation; Gaussian mixture distribution; congestion evaluation; multi-index real-time evaluation; non-real-time evaluation;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location
Guiyang
Print_ISBN
978-1-4673-5533-9
Type
conf
DOI
10.1109/CCDC.2013.6561693
Filename
6561693
Link To Document