Title :
Preceding vehicle state prediction
Author :
Pandita, Rohit ; Caveney, Derek
Author_Institution :
Tech. Center, Motor Eng. & Manuf., North America, Toyota, Ann Arbor, MI, USA
Abstract :
A model-based approach is presented for predicting future state (position and velocity) of the preceding vehicle in response to velocity disturbance from lead vehicle in a platoon. Online parameter estimation is used to adapt model parameters based on characteristics of individual drivers in the platoon. A car-following model is used to describe platoon longitudinal dynamics. Examples are presented using simulated as well as real-traffic data.
Keywords :
parameter estimation; position control; road vehicles; vehicle dynamics; car-following model; future state prediction; individual driver characteristics; lead vehicle; model-based approach; online parameter estimation; platoon longitudinal dynamics; preceding vehicle state prediction; velocity disturbance; Acceleration; Parameter estimation; Prediction algorithms; Predictive models; Sensitivity; Trajectory; Vehicles;
Conference_Titel :
Intelligent Vehicles Symposium (IV), 2013 IEEE
Conference_Location :
Gold Coast, QLD
Print_ISBN :
978-1-4673-2754-1
DOI :
10.1109/IVS.2013.6629597
