Rolling stock planning is one of the steps in the traffic planning process considered from the railway undertaking's point of view. It is directly related to the efficiency of rolling stock utilisation, which should be ensured at the highest possible level in the case of rail transport. The planning work stage is subject to certain risks (threats and opportunities), which, if they materialise, will impact it. It, therefore, makes sense to carry out analyses that can anticipate specific events in good time and introduce appropriate countermeasures in advance. This article aims to conduct a risk assessment process concerning rolling stock planning. It was assumed that the considerations were carried out based on the M_o_R (Management of Risk) methodology. Based on this methodology, risk identifica-tion and risk analysis (estimation of risk impact) were carried out. Risk assessment was carried out using the Monte Carlo simulation method. The work identified sixteen risks that represent threats. The principle of risk description was used to identify risks. It requires indicating for each risk the reason for its occurrence and the effect it may have. As a part of risk estimation, variables were selected to assess each risk's impact on the objectives of the stage. Publicly available statistical data were used to define the variables. The variables were expressed in monetary units. The work identified five variables describing impact, which were assigned to the individual risks. As a trian-gular probability distribution was used for the variability of impact description, the variable's minimum, most likely, and maximum value was identified. A risk assessment was carried out for only two impact description varia-bles (for those variables used to describe the impact of the most significant number of risks). For each variable, statistical parameters were indicated and analysed. The resulting value of the variable describing the impact was then read out for each percentile, and the expected value of the risk was calculated. A detailed risk assessment was made for the lower, middle and upper quartiles. A histogram of the incidence of each variable value was presented, and an assessment was made.
Exploitation of railway vehicles, especially in the case of goods transport, on lines with small-radius curves, results in accelerated wear of wheel profiles and rails in curves. This results in increased operating costs and can lead to derailments on such the lines. One of the ways to reduce these negative effects and to improve the wheel-rail interaction in sharp curves is to cover the surface of the wheel flange with coatings of materials with self-lubricating properties. Covering the wheel flange surface with a suitable coating reduces friction coefficient in case of flange-rail head interaction. However, there is a question about the effect of the self-lubricating layer on the safety of the vehicle. The paper presents the results of simulation analysis of dynamic behavior of a two-axial coal wagon with a modeled self-lubricating coating and its effect on wheel wear.
The article discusses the safety issue on railway level crossings, specifically emphasizing D-grade crossings, i.e., not equipped with any safety devices. Such crossings pose the most significant challenge to improving railway system safety. The lack of any warning or safety devices causes the safe passage through these crossings dependent only on the car driver his concentration and observation of legal requirements (especially enforcing stopping before the STOP sign). Due to that, it is suggested to introduce devices allowing for automatic identification and registration of violations by drivers. Recorded material will be handed over to the relevant authorities (e.g., Police, General Inspectorate for Road Transport), which will undertake appropriate actions. The article also attempts to assess the influence of such a solution on the number of accidents on given level crossings and their outcome, among others, on improving railway safety.
Efficient transport solutions are based on multimodal systems, with the dominant role of rail and road transport in land versions of the systems and the connecting and directing part of intermodal terminals, transhipment terminals or warehouse centres. The implementation of transport processes is always associated with the risk of lack of timeliness (quality) or threats to people, equipment and cargo (safety) resulting from human, technical, organizational and global factors like pandemics or war. The article contains a risk mapping method in multimodal transport systems configured to estimate the risk of lowering the quality of logistics services (on-time deliveries, etc.). The method combines factors usually considered separately in studies on individual modes of transport. A formal notation of risk factors as a mathematical model was proposed, and a case study was provided to picture the implementation.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.