Real-Time Monitoring Unit of Traffic Flow

Ting Zhang; Zhan Wei Song

doi:10.4028/www.scientific.net/AMR.588-589.1058

Paper Titles

Development on Remote Monitoring System for Air Compressors
p.1042

Application of Grey System Method in Stress Monitoring and Control of Continuous Girder Bridge Construction
p.1046

Videogrammetry and its Application on Attack Angle Measuring in Wind Tunnel Testing
p.1050

Novel Nonlinear Process Monitoring Based on KPCA-ICA
p.1054

Real-Time Monitoring Unit of Traffic Flow
p.1058

Research on Construction Schedule Real-Time Control of High Core Rock-Fill Dam Based on Digital Monitoring
p.1062

A Model- Based Detection Method for Stator Core Fault in Induction Motors
p.1068

Inspection of Timberwork with Pinhole Camera Technology
p.1072

Feature Analysis and Extraction of Complex Motion Target Based on Coherent Laser Remote Sensing Detection
p.1076

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 588-589Real-Time Monitoring Unit of Traffic Flow

Real-Time Monitoring Unit of Traffic Flow

Abstract:

With the sustained growth of vehicle ownerships, traffic congestion has become obstacle of urban development. In addition to developing public transport and accelerating the construction of rail transit, use scientific managing and controlling method in real-time monitoring traffic flow to divert the traffic stream is an effective way to solve urban traffic problems. In this paper, cross-correlation algorithm is used to obtain real-time traffic information, such as capacity and occupancy of a lane, so as to control traffic lights intelligently.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 588-589)

Pages:

1058-1061

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.588-589.1058

Citation:

Cite this paper

Online since:

November 2012

Authors:

Ting Zhang, Zhan Wei Song

Keywords:

Cross-Correlation, Intelligent, Peak Hunting, Real-Time, Traffic Flow, Velocity

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Alastair R. Beresford and Jean Baco. Intelligent transportation systems. Pervasive Computing, IEEE; Oct. -Dec. 2006; p.63 – 67.

Google Scholar

[2] Jatuporn Chinrungrueng, Udomporn Sununtachaikul, Satien Triamlumlerd. A Vehicular Monitoring System with Power-Efficient Wireless Sensor Networks. International Conference on ITS Telecommunications Proceedings. June 2006 ; p.951 – 954.

DOI: 10.1109/itst.2006.288711

Google Scholar

[3] Welch,L. Lower bounds on the maximum cross correlation of signals. Information Theory, IEEE; May, 1974; p.397 – 399.

DOI: 10.1109/tit.1974.1055219

Google Scholar

[4] Zhanwei Song. Calculation of the apparatus for real time correlative flow rate. Journal of Jilin University of Technology. 1994, 2rd.

Google Scholar

[5] Mimbela, Luz Elena Y, Klein, Lawrence A. Summary of Vehicle Detection and Surveillance Technologies Used in Intelligent Transportation Systems. The Vehicle Detector Clearinghouse, Southwest Technology Development Institute(SWTDI), (2000).

Google Scholar

[6] Xiaochang Cheng, Shaojing Su. Algorithm of TDE Based on Ultrasonic Demodulation and Its Envelope Correlation. Chinese Journal of Sensors and Actuators, 2006, 6th.

Google Scholar