1. Prediction of Freeway Traffic Flows Using Kalman Predictor in Combination With Time Series.
- Author
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Yi Jiang
- Subjects
- *
TRAFFIC flow , *HIGHWAY engineering , *TRANSPORTATION engineering , *TRANSPORTATION , *PROCESS control systems , *CYBERNETICS - Abstract
It is essential to predict traffic flow rates dynamically and accurately for traffic engineers to efficiently control traffic flows and reduce traffic delays. This paper introduces a method for prediction o f freeway traffic flows. The method combines the combination of the Kalman control theory and the times series theory into a tool for traffic flow prediction. It is illustrated that the combination method provides more accurate traffic flow prediction than using either one of the two theories individually. With the prediction model, the traffic flow on a given freeway in the next time interval (five to 15 minutes) can be predicted using traffic data at the current and past time intervals. Dynamic traffic predictions with the developed model can be performed for individual lanes as well as for all the lanes of each travel direction. It is also shown that a dynamic prediction of traffic flow rate with this prediction model would also constitute a dynamic prediction of traffic congestion if the traffic capacity was given. [ABSTRACT FROM AUTHOR]
- Published
- 2003