A, utomatic vehicle following is an important feature of a fully rpartially automated highway system (AHS). The on-board vehicle control system should be able to accept and process inputs from the driver, the infrastructure, and other vehicles, perform diagnostics. and provide the appropriate commands to actuators so that the resulting motion of the vehicle is safe and compatible with the AHS o...

Car-following behaviour is well studied and analyzed in the last fifty years for homogeneous traffic. However in the mixed traffic, following behaviour is found to vary based on type of lead and following vehicles. In this study, a neural network based model is proposed to predict the following behaviour for different lead and following vehicle-type combinations. Performance of the model is stu...

Objective(s): Neuroprotection is created following the inhibition of angiotensin II type 1 receptor (AT1R). Therefore, the purpose of this research was examining AT1R blockage by candesartan in diffuse traumatic brain injury (TBI). Materials and Methods: Male rats were assigned into sham, TBI, vehicle, and candesartan groups. Candesartan (0.3 mg/kg) or vehicle was administered IP, 30 min post-T...

This paper presents a method to develop a system, which will enable an autonomous agricultural vehicle to follow a leading vehicle with a given lateral and longitudinal offset. With the aid of the RTK GPS systems the position of the leading tractor was obtained every 500 ms with accuracy in the range of centimeters. To provide the target position for the guidance of the following agricultural v...

A four-layer artificial neural network (ANN) structure was set up in the models and a genetic algorithm (GA) and back-propagation methodology were utilized to customize individual driver's behavior. A number of combinations of the input variables was examined with the R2 values representing the model fitting. This paper concluded that there are significant differences in degrees of contribution...

Car following process is time-varying in essence, due to the involvement of human actions. This paper develops an adaptive technique for car following modeling in a traffic flow. The proposed technique includes an online fuzzy neural network (OFNN) which is able to adapt its rule-consequent parameters to the time-varying processes. The proposed OFNN is first trained by an growing binary tree le...

previous studies have shown that the receptive field properties, spontaneous activity and spatio-temporal interactions of low-threshold mechanical somatosensory cells in the barrel cortex are influenced by c-fibers. in this study, we examined the effect of c-fiber depletion on response properties of barrel cortex neurons following experience dependent plasticity. methods: in this study, exterac...

This paper describes the modeling of a two-vehicle convoy and the design of a vehicle following controller that tracks the trajectory of the vehicle ahead with prescribed inter-vehicle distance. Kinematic equations of the system are formulated applying standard robotic methodology. We consider autonomous vehicle following without any information obtained from road infrastructure or communicated...