Paper
22 October 1993 Applications of signal and data processing technology to vehicular traffic monitoring
Author Affiliations +
Abstract
This paper describes how optical sensor signal processing and data association methods that have been developed for Aerospace applications can be applied to the traffic monitoring function of Advanced Traffic Management Systems (ATMS). It first discusses techniques that have been developed for background estimation and detection of vehicles on a roadway. Then, the transformation to tracking coordinates and the multiple target tracking (MTT) algorithm that produces traffic flow observation data are outlined. An extended Kalman filter that takes observed flow data from multiple sensor sites and produces flow estimates for an entire roadway is described and its application to incident detection discussed. Preliminary results using simulated and actual freeway data are presented. Finally, techniques for presenting this data to the user and the manner in which these signal and data processing techniques relate to an overall ATMS design are outlined.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Samuel S. Blackman, M. T. Busch, S. W. Cantrell, and C. J. Musial "Applications of signal and data processing technology to vehicular traffic monitoring", Proc. SPIE 1954, Signal and Data Processing of Small Targets 1993, (22 October 1993); https://doi.org/10.1117/12.157791
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Sensors

Video

Data processing

Cameras

Filtering (signal processing)

Roads

Image processing

Back to Top