Models for ranking railway crossings for safety improvement

Kasalica, Sandra; Obradović, M; Blagojević, Aleksandar; Jeremić, Dušan; Vuković, Milivoje

doi:10.31181/oresta20303085k

Cited by 9 publications

(9 citation statements)

References 19 publications

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“…In addition, the role of Southern Europe in Asian container flows and sea-rail intermodal transport is worth taking into account [48] as a future alternative. However, the safety of European railway network should receive caution, especially in the former Eastern European countries [49]. These mentioned routes are competing for future products, which still have partly unknown origins and needs (as product development and factory networks are forming).…”

Section: Discussionmentioning

confidence: 99%

Development Status and Future Trends for Eurasian Container Land Bridge Transport

Hilmola

Panova

2021

Logistics

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For decades, trade between Europe and China has grown consistently, which has resulted in increased container transportation volumes. Such transportation has been dominated by sea-based options. However, over the years, an air-based mode of transport was developed, while it has lately become increasingly popular to use railways utilizing the Trans-Siberian land bridge. This latter approach boomed amid the COVID-19 crisis in 2020. However, the railway container boom in Eurasia has deeper roots than just the COVID-19 era. As is illustrated in this research work, international trade containers (trade between Russia and other countries, mostly China) and transit containers (e.g., serving the Chinese–EU route) were already showing some significance as early as 2003–2004. In 2020, their volume was already measured in the millions, regardless of the railway data source being used. This is well above the starting period in the 1980s and 1990s, when total annual volumes were around 0.1 million twenty-foot equivalent units (TEU). Container capacity has developed over the years, first being used for international trade and only lately for transit. As a preliminary comparison to air freight, the growth rate was roughly double that in the two-decade observation period.

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Section: Discussionmentioning

confidence: 99%

Development Status and Future Trends for Eurasian Container Land Bridge Transport

Hilmola

Panova

2021

Logistics

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“…This technique was used in the analysis of the efficiency of 12 operational units representing the nearest cities where accidents occurred at road crossings in the Republic of Serbia in the period from 2005 to 2014, with the aim of reducing the number of accidents [ 43 ]. Another study [ 44 ] was conducted in the Republic of Serbia with the aim of identifying the necessary parameters that quantify the risks associated with railway crossings, where the available statistical models that are commonly used (Poisson, NB, ZIP and ZINB) were analyzed. These models were obtained using a gradual AIC.…”

Section: Models For Predicting Accidents and Incidents At Level Crossings—a Review Of The Literaturementioning

confidence: 99%

“…The obtained models were then compared using the Vuong test. In the mentioned research [ 44 ], a new measure for risk was introduced—empirical risk. In Bosnia and Herzegovina, for eight level crossings on the Šamac–Doboj line, crossings were evaluated using the Novel Integrated Fuzzy MCDM—fuzzy PIPRECIA (pivot pairwise relative criteria importance assessment) model [ 45 ], i.e., the assessment was performed using the fuzzy MARCOS method (measurement of alternatives and ranking according to compromise solution).…”

Section: Models For Predicting Accidents and Incidents At Level Crossings—a Review Of The Literaturementioning

confidence: 99%

Model for Risk Calculation and Reliability Comparison of Level Crossings

Ercegovac

Stojić

Kopić

et al. 2021

Entropy

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There is not a single country in the world that is so rich that it can remove all level crossings or provide their denivelation in order to absolutely avoid the possibility of accidents at the intersections of railways and road traffic. In the Republic of Serbia alone, the largest number of accidents occur at passive crossings, which make up three-quarters of the total number of crossings. Therefore, it is necessary to constantly find solutions to the problem of priorities when choosing level crossings where it is necessary to raise the level of security, primarily by analyzing the risk and reliability at all level crossings. This paper presents a model that enables this. The calculation of the maximal risk of a level crossing is achieved under the conditions of generating the maximum entropy in the virtual operating mode. The basis of the model is a heterogeneous queuing system. Maximum entropy is based on the mandatory application of an exponential distribution. The system is Markovian and is solved by a standard analytical concept. The basic input parameters for the calculation of the maximal risk are the geometric characteristics of the level crossing and the intensities and structure of the flows of road and railway vehicles. The real risk is based on statistical records of accidents and flow intensities. The exact reliability of the level crossing is calculated from the ratio of real and maximal risk, which enables their further comparison in order to raise the level of safety, and that is the basic idea of this paper.

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“…Many MCDM models can be used in optimal selection, such as RAFSI, MABAC, MAIRCA, VIKOR methods [19][20][21][22]. This method can make full use of the information of the original data, and its results can accurately reflect the gap between the evaluation schemes.…”

Section: Introductionmentioning

confidence: 99%

An intelligent optimization method for highway route selection based on comprehensive weight and TOPSIS

2022

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In order to accurately analyze and evaluate multi-index and multi-route traffic schemes for comparison and selection, we introduce herein a comprehensive weight and an intelligent selection algorithm for traffic scheme optimization to improve upon the shortcomings of common qualitative and quantitative analysis methods. Firstly, we establish an evaluation index system of transportation by traffic scheme considering the factors of technology, ecological environment, social environment, and economy, based on the whole life cycle. Secondly, the comprehensive weight based on subjective and objective factors is constructed. Finally, we establish an optimization method for transportation schemes by using the comprehensive weight and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) model. The results show that the evaluation index system based on the whole life cycle is more comprehensive and accurate. The comprehensive weight vector avoids the defects of single weight methods and makes full use of subjective data and expert opinions. The comprehensive weight vector is introduced into the decision-maker’s preference coefficient, so that analysts can determine the scheme according to the subjective and objective information and to the required accuracy. This method uses a large number of evaluation groups to evaluate the scheme, and the evaluation results show greater objectivity and efficiency.

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Models for ranking railway crossings for safety improvement

Cited by 9 publications

References 19 publications

Development Status and Future Trends for Eurasian Container Land Bridge Transport

Development Status and Future Trends for Eurasian Container Land Bridge Transport

Model for Risk Calculation and Reliability Comparison of Level Crossings

An intelligent optimization method for highway route selection based on comprehensive weight and TOPSIS

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