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A driver’s intention is recognized accurately by employing fuzzy identification and a logic threshold including acceleration intention and steering intention. Different torque distribution control strategies are developed for different intentions and the driver’s torque demand is amended by fuzzy identification so that the response of the vehicle is more consistent with the driver’s intention of operation...
Longitudinal minimum safety distance (LMSD) is a key indicator to determinate the probability of longitudinal vehicular collision. A novel LMSD model based on fuzzy reasoning was designed with consideration of driver's intention and driving circumstance. The model simulation was realized in MATLAB/Simulink and the experimental tests were performed under various driver's intentions, weather conditions...
The efficient coupling driving control is a key technique that affects both the fuel economy and drivability of the hybrid electric bus (HEB). However, the uncertainties resulting from the complex driving condition and the powertrain would affect the control performance. To solve this problem, this study proposes a novel control approach, which is elaborately integrated with multi-controllers under...
According to statistical data, vehicle rear-end collision takes a large proportion of all kinds of accidents. In order to reduce the rate of rear-end collision, the vehicle safety spacing model was extensively studied. Driving Intention reflects driversâ behavior during driving process. Therefore, a lot of scholars have studied the relation between driving intention and safe driving. In...
This paper presents a driving intention intelligent identification method for hybrid vehicles based on fuzzy inference. In this paper, a fuzzy logic inference system is developed to identify driving intention. The membership functions and rules of fuzzy logic inference system are built for intention identification and the simulation is done in different driving conditions. The simulation results show...
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