Systemic Indicators of Road Infrastructure at Accident Clusters

Kurakina, Elena; Evtiukov, Sergei; Ginzburg, Grigory

doi:10.23968/2500-0055-2020-5-1-51-58

Cited by 59 publications

(5 citation statements)

References 7 publications

(7 reference statements)

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“…In order to achieve this, we must account for the parameter groups created, and analyze them in the context of the parameters' characteristics, as well as the conditions of using the parameters in the studies of systemic indicators of the road infrastructure. Furthermore, we must refer to road accident prediction methods (Kurakina et al, 2020). An RTA BS is referred to as stable if the annual number of accidents in the relevant road section does not fluctuate by more than one or two.…”

Section: Resultsmentioning

confidence: 99%

“…The practical application of research results (Evtiukov and Vasilyev, 2012;Kurakina, 2014;Kurakina et al, 2017) has resulted in greater expert evaluation quality and accuracy, while also allowing for a downward shift of the RTA BS target value. Our analysis of road accident rate statistics, as well as the key systemic indicators that we have singled out within the road infrastructure (Kurakina et al, 2020) allow for an assessment of RTS measures' efficiency.…”

Section: Resultsmentioning

confidence: 99%

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Potential for Improving the Procedure of Inspecting Road Traffic Accident Black Spots

Kurakina

Evtiukov

Rajczyk

2020

AEJ

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Introduction: This study proves that the procedure of inspecting road traffic accident black spots (RTA BS) needs improvement. This improvement is to involve the tools and insights associated with the targeted program approach, as well as a road infrastructure indicator system, and information technology tools. The creation of a road infrastructure indicator system and its comprehensive application, coupled with analytical methods and accident prediction system methods, enables the assessment of measures aimed at reducing the number of RTAs. Accounting for information technology tools and systems (such as the digital traffic safety inquiries desk) is also necessary if traffic safety is to be organized and maintained in a systemic way. Purpose of the study: The study is aimed at finding a new approach to improving the procedure of inspecting RTA black spots. Methods: In the course of the study, we use systemic analysis, analytical methods, traffic safety evaluation based on defining the safety and accident coefficients and revealing RTA black spots, probability theory methods, research results processing, and IT computational methods. Results: We provide a rationale for a comprehensive approach to inspecting RTA black spots within the "traffic participant-vehicle-road-external environment" system. We also demonstrate how a group of parameters can be used for studying the systemic indicators of road infrastructure, in the context of the parameters' characteristics, as well as the conditions of their use. We determine the capabilities of analytical methods, as well as accident prediction methods, in the context of finding an approach to improving the procedure of inspecting RTA black spots. We propose applying a comprehensive approach to the improvement of the RTA BS inspection procedure.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Potential for Improving the Procedure of Inspecting Road Traffic Accident Black Spots

Kurakina

Evtiukov

Rajczyk

2020

AEJ

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“…The methodology of operational reliability analysis of transport infrastructure is of particular signi cance, as it allows for conducting research in the scope of irregularities (errors) occurring in the infrastructure and grouping individual sections into clusters [34][35][36].…”

Section: Road Infrastructure Safety Inspection (Safety Inspections)mentioning

confidence: 99%

Cluster Analysis as a Basis for the Development of an Application Assessing the Reliability of Transport Infrastructure

Trojanowski,

Husár,

Hrehová

et al. 2024

Preprint

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Increased demand for transport services and increased mobility of citizens can lead to a reduction in the level of reliability of transport systems. This in turn increases the demand for ways to assess the reliability of road infrastructure by both transport companies and individual users. The article presents the substantive basis of an application used to determine the reliability of transport infrastructure. Our approach was based on grouping information into clusters – based on the author's proprietary clustering method. Its basis is the detailed analysis of the road infrastructure in terms of errors occurring on it, divided into conceptual, design and operational errors. The methodology consists of three stages of clustering (1) creating a database of sections with assigned errors, (2) determining the initial clusters, (3) creating a final database of clusters, and then assessing the reliability of the road infrastructure of the transport system on their basis. The assumption is that the application will remain open-ended – i.e. the database will be developed by users. The proposed methodology was verified on the example of the selected route in Poland (between Kalisz and Szczecin). Based on the results obtained during the experiment on the selected route, errors in the road infrastructure were determined. This, in turn, allowed us to find that there are a number of errors in the road infrastructure, including errors with a high frequency of occurrence i.e. the so-called permanent errors, which further confirms the need to create an application to assess the reliability of the road infrastructure.

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“…It should be noted that the accident rates in the statistical databases are presented for a long-term period, which in general allows us to assess the dynamics of changes in the indicators under consideration in the country and draw a conclusion about the effectiveness of the measures taken in the field of road safety. Over the years, a large number of studies in this area are based on these indicators [2][3][4][5][6][7][8][9][10][11], which consider various approaches to assessing both the number of incidents and the injured and injured in them. Within the framework of this article, a study was made of accident rates in Russia for the period 2015-2022. and a probabilistic model is proposed to evaluate the indicators under consideration.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic model for assessing accident rates

Shevtsova,

Novikov,

Evtyukov

et al. 2023

J Appl Eng Science

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When working with accident rates, a specialist has to spend quite a lot of time to establish the main places of accidents, certain conditions in which they occurred, which is extremely necessary when determining measures aimed at reducing road accidents. As a result of the research, the authors processed a large amount of data - accident rates for 2015-2021, as a result of which certain dependencies were established between the considered indicators in relative data, which made it possible to develop a probabilistic model for calculating the necessary data with the ability to determine the required conditions. Based on the results obtained, the authors developed an algorithm, according to which procedures were determined when working with accident rates and an assessment of efficiency based on the calculation of the error was carried out. The results obtained allowed us to conclude that the developed probabilistic model and algorithm are effective, in view of the minimum error.

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Systemic Indicators of Road Infrastructure at Accident Clusters

Cited by 59 publications

References 7 publications

Potential for Improving the Procedure of Inspecting Road Traffic Accident Black Spots

Potential for Improving the Procedure of Inspecting Road Traffic Accident Black Spots

Cluster Analysis as a Basis for the Development of an Application Assessing the Reliability of Transport Infrastructure

Probabilistic model for assessing accident rates

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