Preceding vehicle state prediction

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.