Software Design and Implementation of Large-Scale Intelligent Traffic Monitoring System

Jun Ye Wang

doi:10.4028/www.scientific.net/AMM.644-650.1351

Paper Titles

Research of Measuring and Control Technology of Shipborne Satellite Antenna Auto-Tracking System
p.1334

Study of Transportation Corridor of the Dangerous Mountainous Areas Based on GIS
p.1338

Theoretical Analysis on Retro-Reflected Wave Power Based on “Cat-Eye” Effect in Defocusing Condition
p.1342

Optical-Mechanical-Electrical Integrative Design of Fiber Optic Gyro/Beidou/Odometer Integrated Navigation System
p.1346

Software Design and Implementation of Large-Scale Intelligent Traffic Monitoring System
p.1351

Research on the Automatic Monitoring System for Coal Mining Subsidence
p.1355

Double-Clad Yb-Doped Fiber Laser and its External Cavity Frequency-Doubling
p.1361

Study on Wireless Weighing System
p.1365

The Gyro Error Analysis Based on Allan Variance
p.1369

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650Software Design and Implementation of Large-Scale...

Software Design and Implementation of Large-Scale Intelligent Traffic Monitoring System

Abstract:

The design method of large-scale intelligent traffic monitoring system is studied. Traffic monitoring methods have become the core problem of intelligent transportation research field. To this end, this paper proposes an intelligent traffic monitoring method based on clustering RBF neural network algorithm. Fourier coefficient normalization method is used to extract the feature of traffic state, to be as the basis for intelligent traffic monitoring. Using clustering RBF neural network algorithm identify the traffic state effectively, thus to complete the state recognition of intelligent traffic monitoring. Experimental results show that the proposed algorithm performed in intelligent traffic monitoring, can greatly improve the accuracy of monitoring.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

1351-1354

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.1351

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Online since:

September 2014

Authors:

Jun Ye Wang*

Keywords:

Traffic, Vision, Visual Monitoring

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* - Corresponding Author

References

[1] Wang Liang, Hu Weiming, Tan Tieniu. A Survey of Visual Analysis of Human Motion [J]. Chinese journal of computers, 2002, 25(3): 225- 237.

Google Scholar

[2] Zhang Fang, Wu Peng, Huo Rui, et al. Design and implementation of meteorological information network integrated monitoring system based on c/s structure [J]. Meteorological and environmental science, 2009. S1: 279-282.

Google Scholar

[3] Arisawa H, Kambayashi Y. Motion simulation of the human workers for the integrated computer-aided manufacturing based on infoergonomics[C] 2002: 105-114.

Google Scholar

[4] Ghosh Kuntal, Sarkar Sandip, Bhaumik Kamales. A theory of fuzzy, edge detection in the light of human visual system [J]. Journal of Intelligent Systems, 2008, 17(1): 229– 246.

DOI: 10.1515/jisys.2008.17.1-3.229

Google Scholar

[5] Xu Xiaoling. Fuzzy Evaluation Large Transportation Vehicle Scheduling Model Study Based on Internet of Things [J]. Bulletin of Science and Technology. 2013, 29(10): 189-192.

Google Scholar