Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007) Application and Analysis of Time Domain Cross Correlation for Traffic Flow Speed Measurement Haier International Training Center, Qingdao, China July 30-August 01 ISBN: 0-7695-2909-7
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.339
Radars are common means to measure vehicle speed. They are fast and accurate, however measure only instantaneous velocity not speed of the traffic flow. Therefore they are not suitable to help determine the busy degree of traffic. A novel method of traffic flow speed measurement using video based on time domain cross correlation is introduced. It provides œflow speed', a much better parameter determining whether there is a traffic jam or how fast one can cover that road under the observed situation. With regard to the œFalse-Peak' problem, effect of the sequence length on correlation result is presented, together with formulas used to calculate proper sequence length both accurately and approximately. Test results demonstrate the signification of sequence length on improving cross correlation result and good accuracy suitable for estimation of road busy degree.
Citation:
Lichao Wang, Qiyong Lu, Xi Chen, "Application and Analysis of Time Domain Cross Correlation for Traffic Flow Speed Measurement," snpd, vol. 2, pp.274-279, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||