DocumentCode
926642
Title
Freeway-traffic data processing
Author
Nahi, Nasser E.
Author_Institution
University of Southern California, Los Angeles, Calif.
Volume
61
Issue
5
fYear
1973
fDate
5/1/1973 12:00:00 AM
Firstpage
537
Lastpage
541
Abstract
Two basic data processing problems associated with freeway traffic are formulated: estimation of traffic variables (section mean speed and density) and detection of occurrence of an incident or accident within a given section of the road. The existing traffic sensors and the current estimation techniques and their shortcomings are reviewed. Stochastic models for traffic variables are developed and used to design optimum recursive estimators. The incident detection problem is introduced as a potential area where many interesting research topics exist.
Keywords
Aggregates; Data processing; Detectors; Infrared sensors; Magnetic sensors; Optical sensors; Radar detection; Roads; Traffic control; Vehicles;
fLanguage
English
Journal_Title
Proceedings of the IEEE
Publisher
ieee
ISSN
0018-9219
Type
jour
DOI
10.1109/PROC.1973.9109
Filename
1451039
Link To Document