01166nas a2200157 4500000000100000000000100001008004100002653001600043653002100059653005000080100002000130245011300150300001000263490000600273520072900279 1999 d10aData Fusion10aKalman Filtering10aTopographical and Topological Data Estimation1 aChristoph Meier00aIntegrating Topographical and Topological Data in the Estimation of the Actual Traffic Situation on Airports a23-320 v23 a

The automatic estimation of the actual traffic situation on airports is becoming ever more important with the increase of traffic flow. A method to model and to integrate the airport topography and topology into the traffic situation estimation process is presented in the paper. A certain abstraction of the state description of a traffic object from mathematical coordinates to higher level functional airport elements is obtained as a positive side effect. A filtering algorithm, based on the advanced Interacting Multiple Model approach to hybrid systems estimation is proposed. It performs better than standard Kalman filter solutions. The proposed method is computationally more complex than standard solutions.