A New Approach for Real-Time Prediction of Traffic Demand-Diversion in Freeway Corridorsby Eil Kwon, Univ of Minnesota, Minneapolis, United States,
Abstract: An adaptive method is developed for real-time prediction of demand and diversion of traffic flow at on-ramp areas of freeway corridors. The prediction method explicitly treats the time-variant effects of control on the traffic demand to be predicted by combining behavioral modeling with filtering. In particular, behavioral demand-diversion models and an Extended Kalman Filter are developed, with the filter continuously updating the model parameters with the most recent prediction error.
Subject Headings: Filters | Traffic signals | Highways and roads | Transportation corridors | Errors (statistics) | Traffic flow | Traffic models | Adaptive systems
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