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EN
In railway applications wear prediction in the wheel-rail interface is a fundamental matter in order to study problems such as wheel lifespan and the evolution of vehicle dynamic characteristic with time. The change of the running surface of the railway wheels head has not only a great influence on the dynamic properties of the vehicle, but also a significant economical, safety and ecological impact in the process of the rail transport. One of the ways to predict these undesired situations are computer aided simulation analyzes. In this paper are presented results of wheel profile wear by Archard wear law, when the computational model of railway vehicle was driving in track by constant velocity. The vehicle was traveling along track where the rail profile was defined by standard (UIC 60 profile) with cant of 1:40, or the track profile really measured on the track, the profile S 91700_16 with the cant of 1:20. Simulations were realized by SIMPACK software.
EN
Road safety has an extremely important role in existing transportation systems. Drivers on the road are influenced by various factors (light and temperature conditions, visual smog, environment surrounding, etc.) and driver´s distraction represents the most common cause of road traffic accidents. According our previous researches, we found that visual smog has a negative influence on drivers on the road. However, the task of placing the traffic signs on the roads is to increase road safety, thus positively influencing the driver while driving. The main objective of this article is to measure the visibility of traffic signs on selected roads in specific light conditions (in night). Secondary objective is to measure visibility of roadside advertisement (billboards) near roads that are influencing driver´s distractions in negative way. The mobile ETG technology (eye tracking glasses) has been used as a method for measuring the gaze of the driver’s eyes on traffic signs in night conditions. We compared the results from our previous research (daylight conditions) with the obtained results from the current research. On the basis of the comparison of both measurements we can find out differences (positive and negative) in influence of traffic signs and road side advertisements on drivers in various light conditions.
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