1. Application of Kalman Filtering to the Surveillance and Control of Traffic Systems.
- Author
-
Szeto, Michael W. and Gazis, Denos C.
- Subjects
ALGORITHMS ,KALMAN filtering ,DISCRETE-time systems ,ESTIMATION theory ,TRAFFIC engineering ,CONTROL theory (Engineering) ,STOCHASTIC processes - Abstract
The methodology of the discrete-time, extended Kalman filter is applied for the estimation of densities and the control of critical traffic links. The methodology is tested using traffic data obtained at the Lincoln tunnel of New York City. Two algorithms are tested, one involving density estimation alone and one combining density estimation with a formalism for the determination of optimal control. The results indicate that the first algorithm gives very good density estimates. The second algorithm yields a less accurate density estimate, but has the advantage over the first that it is amenable to an analytical optimization investigation. [ABSTRACT FROM AUTHOR]
- Published
- 1972
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