DocumentCode :
2412679
Title :
Electronic traffic jam detection in parking facilities
Author :
Marma, Arunas ; Zilys, Mindaugas ; Valinevicius, Algimantas
Author_Institution :
Dept. of Electron. Eng., Kaunas Univ. of Technol., Kaunas
fYear :
2008
fDate :
23-26 June 2008
Firstpage :
739
Lastpage :
744
Abstract :
This paper explores the possibility of traffic jam control and detection systems modelling. The traffic jam detection model was developed This paper proposes jam forecasting and detection method using the neural network and fast Fourier transform. In this method, time series data of traffic flow events considered as a combination of frequency are transformed into several frequency data.
Keywords :
fast Fourier transforms; neural nets; road traffic; time series; traffic control; electronic traffic jam detection; fast Fourier transform; jam forecasting; neural network; parking facility; time series data; traffic flow events; traffic jam control and detection systems modelling; Communication system traffic control; Control systems; Mathematical model; Neural networks; Predictive models; Roads; Telecommunication traffic; Testing; Traffic control; Vehicles; Traffic jam measure and security; automatic detection and handling system of parking vehicles; intelligent transport systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology Interfaces, 2008. ITI 2008. 30th International Conference on
Conference_Location :
Dubrovnik
ISSN :
1330-1012
Print_ISBN :
978-953-7138-12-7
Electronic_ISBN :
1330-1012
Type :
conf
DOI :
10.1109/ITI.2008.4588503
Filename :
4588503
Link To Document :
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