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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Nahi, N.E. |
| Copyright Year | 1963 |
| 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. |
| Sponsorship | IEEE Publication |
| Starting Page | 537 |
| Ending Page | 541 |
| Page Count | 5 |
| File Size | 548467 |
| File Format | |
| ISSN | 00189219 |
| Volume Number | 61 |
| Issue Number | 5 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1973-05-01 |
| Publisher Place | U.S.A. |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Traffic control Data processing Vehicles Magnetic sensors Detectors Aggregates Optical sensors Infrared sensors Roads Radar detection |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science Electrical and Electronic Engineering |
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