DocumentCode :
523503
Title :
Research on Estimation of Dynamic Link Impedance Based on Information Fusion
Author :
Gao, Xueying ; Yang, Zhaosheng ; Yang, Wei
Author_Institution :
Jilin Univ., Changchun, China
Volume :
2
fYear :
2010
fDate :
11-12 May 2010
Firstpage :
1158
Lastpage :
1162
Abstract :
Dynamic link impedance is an important base for dynamic traffic assignment problem. Link travel time is the main constituent of link impedance and is often directly used as link impedance. Considering the disadvantages of traditional estimation methods based on floating car, proposed an improved method to improve the accuracy of the estimates. To Sydney Coordinated Adaptive Traffic System, its detection data was rarely applied to estimate link impedance. An estimation method of average link travel time was presented based on SCATS data. The relationship between the estimated average link travel time based on Global Position System, GPS data and the simple size of floating car was analyzed, also. Understand the characteristics of the two estimation results and classified the experimental samples based on this characteristics. Analyzed and discussed two kinds of information on complementary action, and selected appropriate method to fuse the estimation results. Experimental results showed that the presented method was effective, and its results were more reliable after data fusion.
Keywords :
Global Positioning System; estimation theory; sensor fusion; traffic engineering computing; Sydney coordinated adaptive traffic system; average link travel time; dynamic link impedance estimation; dynamic traffic assignment problem; global position system; information fusion; Delay; Detectors; Fuses; Geographic Information Systems; Global Positioning System; Impedance; Information analysis; Roads; Transportation; Vehicle dynamics; dynamic link impendance; global position system; information fusion; loop detector; map matching;
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.2010.69
Filename :
5522314
Link To Document :
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