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Summary. Every year, many road accidents occur on Polish roads, in which many people lose their lives and health. Therefore, an attempt was made to analyze road accidents in the Piła poviat. The source of the analysis were the authors' observations and statistical data. This study was conducted on a sample of 250 inhabitants. Hence, a questionnaire was used. Most people, more than half, about 56%, travel by car because it is a more convenient and faster means of transport. While 35% of respondents stated that they feel relatively safe on the roads. A majority, 65%, of the respondents did not participate in a road accident. Further, 60% of the respondents replied that there were many accidents in the Piła poviat, and only 11% answered that there were not many accidents. According to the respondents, the biggest cause of the accidents is alcohol, inattention of drivers and haste. Despite the information, advertisements, scale of these accidents, and opinions of family and friends, people still drive under the influence of alcohol. Year by year, the number of accidents on the roads of the Piła poviat is low, but still considerably high. There is no best way to stop this from happening. In Piła itself, circular intersections have been introduced to improve safety, such an operation is one of the methods for smoother traffic. Additionally, in residential areas, there are more speed bumps to reduce the speed of vehicles. The conclusions obtained in this article can be successfully implemented, not only in other cities in Poland but also in Europe as well. [ABSTRACT FROM AUTHOR]

The intersection of a public road with a railway line in one level, called a rail-road crossing, is a particularly dangerous place due to the traffic flows crossing it. The regulations give absolute priority to a rail vehicle over a public road user; in addition, significant differences in the masses and speeds of moving vehicles require traffic regulation consisting of adequate passage protection. To this end, the road on which motor vehicles is equipped with road signs informing drivers that they are approaching an intersection with a railway line. The rail-road crossing, depending on the category, is equipped with signaling devices warning of an oncoming train and barriers closing the entire width of the road or part of it, operated or operating automatically. In Poland, the category of rail-road crossing, the associated method and type of security used at the crossing, is determined on the basis of relevant acts and internal regulations of the railway line manager. The paper presents an overview of the state of safety at rail-road crossings in Poland in the years 2008-2018, presents applicable regulations regarding traffic safety at rail-road crossings, and presents methods of protection of rail-road crossings. In addition, a map of concentration of events on rail-road crossings was presented for the area of the Silesian Voivodeship. The effect of the case study for the Silesian Voivodeship is to identify sensitive rail-road crossings with the highest number of events during the analysis period. [ABSTRACT FROM AUTHOR]

The implementation of Intelligent Transport Systems (ITS) nowadays is associated with a strong need to solve problems related to the high accident rate, as well as low efficiency of transportation process management. The topic of this paper is the characterisation of selected intelligent transport services and the determination of their influence on road traffic safety and efficiency. Two services implemented within the framework of the National Traffic Management System in Poland were distinguished, namely: transmitting information to drivers and incident detection. A general analysis of the relationship between the functioning of ITS services and safety on national roads, as well as traffic efficiency therein was conducted. [ABSTRACT FROM AUTHOR]

Passenger transport safety is an important issue. This paper presents a method for the identification of locations at the intersection of tramlines and road traffic, which are characterized by a high level of risk. Furthermore, different aspects of risk have been determined in order to analyse the problem in a complex way. For each aspect of risk, a measure was developed to estimate the level of risk. The application of the proposed method has been presented on the basis of an analysis of documentation of traffic incidents on the tram network. Accordingly, hazardous road locations have been identified. [ABSTRACT FROM AUTHOR]

The detection of obstacles at rail level crossings (RLC) is an important task for ensuring the safety of train traffic. Traffic control systems require reliable sensors for determining the state of anRLC. Fusion of information from a number of sensors located at the site increases the capability for reacting to dangerous situations. One such source is video from monitoring cameras. This paper presents a method for processing video data, using deep learning, for the determination of the state of the area (region of interest—ROI) vital for a safe passage of the train. The proposed approach is validated using video surveillance material from a number of RLC sites in Poland. The films include 24/7 observations in all weather conditions and in all seasons of the year. Results show that the recall values reach 0.98 using significantly reduced processing resources. The solution can be used as an auxiliary source of signals for train control systems, together with other sensor data, and the fused dataset can meet railway safety standards. [ABSTRACT FROM AUTHOR]