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This paper focused on the remaining time to brake pedal operation (TTBP) and proposed the unscented Kalman filter (UKF)- and particle filter (PF)-based models to estimate the TTBP prior to the actual brake pedal operation. The state and measurement equations were simply modeled by partially using an ANN model. Also, the three-vehicle convoy data collected through a driving simulator (DS) experiment...
The headway distance between vehicles in a platoon is difficult to measure unless the vehicles are equipped with costly equipment such as laser or radar sensors, or an image processing system. This paper proposes an alternate approach to estimating headway distance indirectly from measurable variables such as the acceleration rate and velocity of selected vehicles in the platoon. Assuming a six-vehicle...
This paper applies a particle filter (PF) and a dual particle filter (DPF) for estimating the headway distance of vehicles traveling in a longitudinal platoon. Assuming that prior knowledge on the model parameter is different from what is observed in a real car-following, PF attempts to estimate the headway by measuring the acceleration rate and velocity of probe cars installed in the platoon. In...
A dynamic feedback system is developed for estimating the velocity and headway distance in a longitudinal three-vehicle platoon. The estimation system is modeled using an extended Kalman filter (EKF) and a Neural Kalman filter (NKF) that estimate the velocity and headway distance by measuring the acceleration rate of some selected vehicles in the platoon. State equations of the EKF are analytically...
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