A Position Estimation Algorithm for Vehicle Following

We present a distance estimation algorithm for vehicle following in automated highways. The idea is to install two transceivers at the back of the leading vehicle and two transceivers at the front of the following vehicle. Estimating the traveling time of two data sequences between transceivers, different distances between the transceivers of the leading and following vehicles can be measured. From these estimated distances, the turn angle of the leading vehicle can be calculated. Taking the estimated distance and turn angle into account, then the following vehicles can adjust their speed and change their direction to follow the leading vehicle. The performance of this distance estimation algorithm is evaluated analytically and through computer simulation.