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
Link To Document :
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