There have been several studies aiming to develop a realistic driver model in accordance with the increased interest in vehicle safety issues and in computer simulation for a vehicle design. This study is especially considering the human driver's steering process; path planning, feed-forward steering, and preview feedback steering. Important human factors, such as the view angle and the neuromuscular system, are also regarded. The suggested driver model is simulated based on the CarSim vehicle model in a Simulink environment. The simulation results are then compared to the actual vehicle test data and to the driving simulator test data with regard to the four human driver levels. The driver model suggested in this study represents the human steering behaviour and well matches the real vehicle test data.
Abstract. High precision vehicle simulation environment is required for development of control system of any newly suggested intelligent system. Hence, a high precision full-vehicle simulation environment integrated with an intelligent torque transfer system should be developed for an advanced control logic for enhancement of vehicle stability. In the perspective of making enhanced AWD system, there are many kinds of methods to make the system. And a controller part of the AWD module is regarded as a major part of the system development in consideration of enhancement of the vehicle stability with the suggested AWD system. Therefore, in this study, high precision full-vehicle simulation environment is developed for the development of an intelligent control system of the AWD module. In order to make models for the simulation, vehicle test is performed with a commercial vehicle, and the several performance tests of the developed AWD system are also conducted in a laboratory. Then, the simulation environment comprised of several models of important sub-systems is developed based on the previously conducted test results, and the developed simulation environment is verified by comparing the simulation results to the test results.
Abstract. Adaptive cruise control (ACC) system Cruise Control is one of advanced driver assist systems (ADAS) for road vehicles. ACC systems have been designed and commercialized based on only ISO standards. ADAS needs more detailed design criteria. In this study, few parameters representing driving characteristics are drawn and the criteria for classification are suggested by securing and analyzing 77 driver vehicle interaction databases for highway driving. Drivers are classified by the suggested criteria and decelerating characteristics of each class are analyzed. Needs of discriminative standards considering an individual driver's driving characteristics for designing ACC algorithm are asserted in consideration of the analysis.
From the perspective of vehicle driving, the relationship between driveline efficiency and fuel efficiency is a trade-off. Moreover, there are differences in each driver's preference in the ranges of driveline and fuel efficiency. For these reasons, the optimization between driveline efficiency and fuel efficiency is applied by considering personal driving characteristics. A study using a continuously variable transmission (CVT) control algorithm has advantages because continuous gears have a lot of freedom for control. Therefore, the target probability, which is related to the driving characteristics, is applied to the CVT gear shifting control algorithm based on a CVT vehicle model and verified.
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