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.

The research on automotive safety usually involves crash test experiments. These tests are very expensive, often difficult to replicate, which may lead to serious loss. This paper shows the crash test reliability analysis and classifies the risk of failure of such experiment. 46 frontal crash tests were conducted with the use of crash test dummies. All the tests were prepared according to the standard operating procedure (SOP) and the strict check list was followed before each run. All the tests were categorized for loss and analyzed for the cause of failure. Then the probability of failure of crash test experiment was calculated. From 46 conducted tests, 6 failed, which is 13% of all the tests. The main reason of the test failures was human mistake. The results show that probability of loss during crash tests is very likel

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The paper presents application of the Event Tree Analysis method for analyzing risk in complex situations

The subject of this study is a preliminary risk analysis during travel by the low pressure railway Hyperloop. The main objective was to formulate recommendations related to the development of the project of the new transport mode. The main analysis was preceded by the identification of Man – Machine - Environment system. Undesirable events were identified for each of the specified steps of a ride. For each event, a risk assessment was performed using Risk Score based method. The causes, effects and preventive actions were also listed. Events with the highest risk score were indicated. The need to develop procedures for safety checks and emergency situations was pointed out. It was shown that the safety analysis of the transport system should be extended after a final project development of the railway system and the necessary infrastructure.