Driver reliability anD behavior stuDy baseD on a car simulator station tests in acc system scenarios analiza niezawoDności i zachowania kierowcy z wykorzystaniem testów na symulatorze pojazDu osobowegoo w scenariuszach systemu acc Nowadays Advanced Driver Assistant Systems (ADAS) are becoming more popular in car equipment. During ADAS development process it is necessary to prepare numerical models and perform simulation tests, so the systems could be safely implemented. However, because these systems are directly connected to a human -machine interface, volunteer tests on a car simulator are conducted. They are indispensable for testing the correct operation of the system, but above all for showing differences in the operation of the system and a driver in terms of human reliability. Presented research shows results of simulator tests in two cases: extra -urban and mixed scenarios. The tests were classic, tracking tasks in which the driver was required to keep a safe, predefined distance from the leading car. Consequently, the results of experiments were compared to results of the reference car performance, i.e. the car equipped with Adaptative Cruise Control system. It made possible to assess the driver reliability. Moreover, questionnaire tests (NASA TLX) were also applied to assess subjects' workload. Finally, results of volunteers' rides were compared to results of a simulation with use a driver model based on fuzzy logic. This model, in the future, may be used in development of a car simulator equipped with ADAS.

Purpose The purpose of this paper is to elaborate and develop an automatic system for automatic flight control system (AFCS) performance evaluation. Consequently, the developed AFCS algorithm is implemented and tested in a virtual environment on one of the mission task elements (MTEs) described in Aeronautical Design Standard 33 (ADS-33) performance specification. Design/methodology/approach Control algorithm is based on the Linear Quadratic Regulator (LQR) which is adopted to work as a controller in this case. Developed controller allows for automatic flight of the helicopter via desired three-dimensional trajectory by calculating iteratively deviations between desired and actual helicopter position and multiplying it by gains obtained from the LQR methodology. For the AFCS algorithm validation, the objective data analysis is done based on specified task accomplishment requirements, reference trajectory and actual flight parameters. Findings In the paper, a description of an automatic flight control algorithm for small helicopter and its evaluation methodology is presented. Necessary information about helicopter dynamic model is included. The test and algorithm analysis are performed on a slalom maneuver, on which the handling qualities are calculated. Practical implications Developed automatic flight control algorithm can be adapted and used in autopilot for a small helicopter. Methodology of evaluation of an AFCS performance can be used in different applications and cases. Originality/value In the paper, an automatic flight control algorithm for small helicopter and solution for the validation of developed AFCS algorithms are presented.

The control surfaces failures significantly reduce the maneuverability of the aircraft. The problem may appear in every flying platform, and its consequences can lead to a serious accident. To counteract the aircraft's lower maneuverability, the adaptive system could be added. That is why, a reconfiguration of unmanned aircraft flight control system was a subject of research project. The developed system uses the other control surfaces and engine to take over scope of stuck control surface. One of the system validation test involved human operators to recognize their reactions while the system is active. The test was performed with the use of an unmanned aerial vehicle (UAV) flight simulator with implemented reconfiguration algorithm. The paper presents the results of an experiment during which the various configuration and failures were tested. A group of UAVoperators repeated a simple maneuver task-slalom, under different failure settings. To assess the system and operators' workload during the test, a subjective assessment was done. The Cooper-Harper, Bedford scales, and overall workload questionnaires were used. To get a full spectrum of the operators' responses to the reconfiguration system, the objective evaluation was also done. The UAV flight parameters (velocities, accelerations, and position) were registered automatically during the flight tests. Based on those data, the quality index of each flight was generated, providing the objective flight performance assessment.

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Recently, simulators find application not only in the aeronautics, but also in other fields of technology, like robotics, marine etc. Computer-based trainings are offered almost with every modern technology product placed in the market. In the paper the application of simulators to train pilots of mobile platforms (like aircraft, cars, sea-vessels) is considered. The simulator sickness appears due to difficulties in simulating the motion and environment "properly" in the simulator. Similar symptoms, called a virtual reality sickness may be observed within the community of computer game players. The main reason for occurrence of the simulator sickness is that external stimuli (motion and/or vision) give misleading information to a human brain. The aim of this research was to find the relation between the architecture and the technical parameters of different types of simulators and occurrence of the simulator sickness. The focus of this study is the architecture of the simulator and its technical parameters that may influence unfavorable operator reactions during training, such as moving platform, screen size, simulated models, graphics quality, etc. The paper is based on a wide literature review, and it is an introduction to the future experimental research.

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