DocumentCode
2966339
Title
A study on the method of the service level classification for ETC toll plaza
Author
Liu, Weiming ; Guan, Liping ; Yin, Xiangyuan
Author_Institution
Coll. of Traffic & Commun., South China Univ. of Tech., Guangzhou, China
Volume
1
fYear
2004
fDate
21-23 March 2004
Firstpage
424
Abstract
The service level of the toll plaza is an important guideline to describe the characteristic of toll road, and it´s also a scientific basis to design the toll plaza and to manage the toll collection system. In view of the difficulty and complexity of a mathematical and physical method to classify the service level and the good behavior in self-organization and robustness of Kohonen neural network, this study applies Kohonen neural network to classify the service level of ETC toll plaza. In this paper, the method is applied to classify the service level for a certain toll plaza with five toll lanes, and it´s found to be potentially applicable in practice.
Keywords
learning (artificial intelligence); road traffic; self-organising feature maps; tariffs; Kohonen neural network; electronic toll collection system; learning; service level classification; toll lanes; toll plaza design; toll road; Cities and towns; Driver circuits; Educational institutions; Fluid flow measurement; Guidelines; Measurement standards; Neural networks; Roads; Traffic control; Vehicle driving;
fLanguage
English
Publisher
ieee
Conference_Titel
Networking, Sensing and Control, 2004 IEEE International Conference on
ISSN
1810-7869
Print_ISBN
0-7803-8193-9
Type
conf
DOI
10.1109/ICNSC.2004.1297475
Filename
1297475
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