Real-Time Monitoring Unit of Traffic Flow

Abstract:

Article Preview

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.

Info:

Periodical:

Advanced Materials Research (Volumes 588-589)

Edited by:

Lawrence Lim

Pages:

1058-1061

Citation:

T. Zhang and Z. W. Song, "Real-Time Monitoring Unit of Traffic Flow", Advanced Materials Research, Vols. 588-589, pp. 1058-1061, 2012

Online since:

November 2012

Export:

Price:

$38.00

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

[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: https://doi.org/10.1109/itst.2006.288711

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

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

[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).

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