ADAPTIVE FILTERING FOR ADVANCED VEHICLE CONTROL
This Innovations Deserving Exploratory Analysis (IDEA) project bridges the gap between proposed Intelligent Transportation System (ITS) decision-making methods and the proposed Advanced Vehicle Control System (AVCS) by providing numerical techniques for determining information necessary to make and implement intelligent driving decisions. The results have application to ITS products for automated driving, emergency intervention, and driver safety aids. In addition, the numerical techniques provide feedback signals that make implementation of AVCS feasible. The major components of this project include a set of transducers, an Extended Kalman Filter (EKF), a Bayesian Hypothesis Selection algorithm, and a Vehicle Parameter Determination block. This IDEA investigation is a feasibility study conducted to develop and validate the EKF and Bayesian Hypothesis Selection algorithms using both computer simulation and field test data.
- Record URL:
- This ITS-IDEA project was conducted by the Christian Brothers University, Memphis, Tennessee.
Washington, DC United States 20001
- Ray, L R
- Publication Date: 1995-11-10
- Features: Appendices; Figures; References; Tables;
- Pagination: 40 p.
- ITS-IDEA Program Project Final Report
- Publisher: Transportation Research Board
- TRT Terms: Advanced vehicle control systems; Decision making; Feasibility analysis; Field studies; Intelligent transportation systems; Kalman filtering; Simulation; Technological innovations
- Uncontrolled Terms: Field data
- Old TRIS Terms: Bayesian algorithms; Numerical techniques
- Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning;
- Accession Number: 00727277
- Record Type: Publication
- Contract Numbers: ITS-14
- Files: NTL, TRIS, TRB
- Created Date: Oct 15 1996 12:00AM