scholarly journals Representativeness of Czech In-Depth Accident Data

Safety ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. 40
Author(s):  
Robert Zůvala ◽  
Kateřina Bucsuházy ◽  
Veronika Valentová ◽  
Jindřich Frič

Road accident occurrence is often the result of driving system malfunctions, and road safety improvements need to focus on all basic driving components—the vehicle, road infrastructure, and road users. Only focusing on one type of improvement does not necessarily lead to increased road safety. Instead, improved road safety requires comprehensive measures that consider all factors using in-depth accident analysis. The proposed measures, based on the findings from in-depth data that have general applicability, are necessary to determine whether data gained from in-depth studies adequately represent national statistics. This article aims to verify the representativeness of the Czech In-Depth Accident Study at a national level. The main contribution of this article lies in the use of a weighting method (specifically, a raking procedure) to generalise research results and render them applicable to a whole population. The obtained results could be beneficial at the national level, in the Czech Republic, and also on the supranational level. The applicability of this method on accident data is verified; thus, the method can be applied also in other countries or can be used to verify the applicability of conclusions from the Czech in-depth study also on a European or worldwide level.

2021 ◽  
Author(s):  
Valerii Vyrozhemskyi ◽  
Liudmyla Nahrebelna ◽  
Minenko Yevhen ◽  
Nataliia Bidnenko

Insufficient road safety level remains a serious problem in Ukraine. The number of people killed in road accidents in 2018 per 100 thousand of population is 9,11, while in the countries of the European Union, on average, this indicator is 5-6 deaths per 100 thousand of population. The growing number of vehicles and road users increases the likelihood of road accidents and, accordingly, the number of the suffered people increases. This regularity can be noted not only in our country, but also in the countries over the world. Method of prospective extrapolation is proposed for the prevention of road accidents which makes it possible to transfer the trends and links connected with the occurrence of road accidents in the past to the current period and for the future. To apply this method, it is necessary to have a qualitative statistical analysis of the road accident data. This provides an opportunity to foresee the occurrence of a particular type of accident, its location and the causes affecting its occurrence. By using the prospective extrapolation method, it is possible to reduce the number of road accidents and the severity of their consequences, including reducing the number of fatal accidents to a minimum.


ICCD ◽  
2019 ◽  
Vol 2 (1) ◽  
pp. 601-606
Author(s):  
Widodo Budi Dermawan ◽  
Dewi Nusraningrum

Every year we lose many young road users in road traffic accidents. Based on traffic accident data issued by the Indonesian National Police in 2017, the number of casualties was highest in the age group 15-19, with 3,496 minor injuries, 400 seriously injured and 535 deaths. This condition is very alarming considering that student as the nation's next generation lose their future due to the accidents. This figure does not include other traffic violations, not having a driver license, not wearing a helmet, driving opposite the direction, those given ticket and verbal reprimand. To reduce traffic accident for young road user, road safety campaigns were organized in many schools in Jakarta. This activity aims to socialize the road safety program to increase road safety awareness among young road users/students including the dissemination of Law No. 22 of 2009 concerning Road Traffic and Transportation. Another purpose of this program is to accompany school administrators to set up a School Safe Zone (ZoSS), a location on particular roads in the school environment that are time-based speed zone to set the speed of the vehicle. The purpose of this paper is to promote the road safety campaigns strategies by considering various campaign tools.


2020 ◽  
Vol 15 (2) ◽  
pp. 31-48
Author(s):  
Vilma Jasiūnienė ◽  
Rasa Vaiškūnaitė

Network-wide road safety assessment throughout the whole network is one of the four road infrastructure safety management procedures regulated by Directive 2019/1936/EC of the European Parliament and of the Council of 23 October 2019 Аmending Directive 2008/96/EC on Road Infrastructure Safety Management and one of the methods for determining the direction of investment in road safety. So far, the implementation of the procedure has been lightly regulated and adapted using various road safety indicators. The paper describes the evaluation of road accident data that is one of the criteria for conducting a network-wide road safety assessment. Taking into consideration that networkwide road safety assessment is a proactive road safety activity, the paper proposes to conduct road safety assessment considering the expected fatal accident density. Such assessment makes it possible to assess the severity of accidents, and the use of the predicted road accident data on calculating the introduced road accident rate contributing to the prevention of accidents. The paper describes both the empirical Bayes method for predicting road accidents and the application of one of the road safety indicators – the expected fatal accident density – to determine five road safety categories across the road network. The paper demonstrates the application of the proposals submitted to Lithuanian highways using road accident and traffic data for the period 2014–2018.


2019 ◽  
Vol 18 (6) ◽  
pp. 471-475
Author(s):  
M. Tarasovа ◽  
N. Filkin ◽  
R. Yurtikov

Explosive development of computer technologies and their availability made it possible to extensively focus nowadays on emerging state-of-the-art technologies, digitalization, artificial intelligence, and automated systems, including in the field of road safety. It would be reasonable to implement some technical devices in this respect to remove human factor and automate some procedures completed at the scene of a road accident. Automatically filled up road accident inspection records and, mainly, diagrams of the accident will reduce time required for the examining inspector and remove human factor. Ultimately, an automated road accident data sheet is suggested to be established. To tackle the issues above requires a technique to determine whether the produced damages to the car body result from the same road accident. The fact remains that there are circumstances when even vehicle trace examination would not do the job, in case of multiple corrosive damage to the body. In view of the above, a technique designed to determine whether the damages produced are caused at the same point of time gains its ground. A technique for a time-related corrosion examination is offered herein to cut expenditures for diagnostics and expert examination of road accidents. That will also eliminate the matters of argument with respect to the road accident evaluation in court. Among added benefits of the technique are that it is simple, quick to implement, and requires no human involvement. It is a well-established fact that each chemical element or a mixture of substances has its own timeinvariant color attributes which allows to determine availability of one or another substance during corrosion of metal surfaces, by emission from the surface in question.


2021 ◽  
Vol 2 (4) ◽  
pp. 5333-5377
Author(s):  
Santiago Osnaya Baltierra

El presente trabajo emerge en el marco del Decenio para la Seguridad Vial (DSV) 2011-2020 propuesto por la Organización de las Naciones Unidas (WHO, 2011). México fue uno de los países que se adhirió al programa, debido al alto número de siniestros de tránsito registrados anualmente. En el DSV se propone un plan de acciones para reducir el índice de accidentes viales en el mundo, las cuales están integradas en cuatro grupos (pilares) a saber, pilar uno “Gestión de la seguridad vial”, pilar dos “Vías de tránsito y movilidad más segura, pilar tres “Vehículos más seguros”, pilar cuatro “Usuarios de vías de tránsito más seguras” y pilar cinco “Respuestas tras los accidentes”. La investigación que aquí se ofrece, obedece al pilar dos, y de manera específica, al apartado de proyectos de investigación que permitan evaluar posibles mejoras en materia de seguridad dirigida a los usuarios más vulnerables en las vialidades. En este contexto, la indagación busca identificar desde un enfoque semiótico las causas que pueden ocasionar un accidente de tránsito en un crucero vial, en el que se observe una relación directa entre los dispositivos para el control de tránsito (señales) y los peatones. Con el fin de interpretar, comprender y explicar dicho fenómeno, para con ello proponer soluciones que mitiguen la problemática.   This work arises from the Decade for Road Safety (DSV) 2011-2020 proposed by the United Nations (WHO: 2011). Mexico was one of the countries where this program was introduced, because of the high number of traffic accidents recorded annually. The DOV proposes a plan of actions to reduce the global road accident rate, which are integrated into four groups (pillars), pillar one "Road safety management", pillar two "Safer roads and mobility", pillar three "Safer vehicles", pillar four "Safer road users" and pillar five "Post-crash responses". Thus, the research offered here, refers to pillar two, and more specifically, to the section on research projects in order to evaluate possible improvements in the area of safety for the most vulnerable road users. In this context, the research seeks to identify from a semiotic approach the causes that can lead to a traffic accident at a crossroads, in which a direct relationship between traffic control devices (signs) and pedestrians can be observed. In order to interpret, understand and explain this phenomenon and propose solutions to mitigate the problem.


Vestnik LSTU ◽  
2021 ◽  
pp. 38-45
Author(s):  
Anton S. Sysoev ◽  
Vladimir E. Klyavin ◽  
Alexandra V. Dvurechenskaya ◽  
Albert E. Mamedov

Author(s):  
S. John Older ◽  
Brian R. Spicer

Accident reports have been the main source of information in road safety research, and they provide the usual base for criteria used in countermeasure evaluation. Certain difficulties in using accident data arise from the time periods required for the collection of sufficient numbers of incidents and from the restricted details available for specific incidents. To overcome these difficulties studies have been made to test the feasibility of directly observing situations where road users are in conflict and evasive actions, successful or unsuccessful, become necessary. These conflict studies show that for a range of rural and urban intersections, conflicts occur frequently, are readily observable, and correlate well with the known long-term accident data. The recurring situations leading to conflicts have been detailed and give information on multiple vehicle involvement, queue position, vehicle paths, and blocking maneuvers. The use of this conflict study technique by traffic and highway engineers and road safety research workers is discussed.


In recent years, the accidents on road have been increasing exponentially on yearly basis because of heavy traffic which has increased great concerns across the world. The enormous growing drift of motorization and the improvisation of the social and economic position of the people have influenced the annoying road safety scenarios with wounded and eternally disabled injuries. This paper has an extensive in-depth study through the accidents and its causes due to the reasons like weather Conditions, Age, Lighting, Vehicle Conditions, Road conditions etc. Data mining algorithms are applied to the provided dataset and factors which cause accidents. Utilization of this paper is to find out the factors which cause accidents and it can be given to the public so that the accidents can be reduced. This paper has established a linkage from the causes to the consequences with event classification of certain cases during the duration2009-2014.


2021 ◽  
Vol 1 (3) ◽  
pp. 209-226
Author(s):  
Abdulkadir Muhammed Yahaya ◽  
◽  
Abdullahi Sani Yusuf ◽  
Inusa Musa ◽  
Fatima Ilyasu Maaji ◽  
...  

Purpose: Road accident has been claiming lives and no amount of research will be enough to expose the causes and dangers. This study appraises the causes and analyses the variation of road accidents in the Kaduna metropolis, intending to reduce it. Research methodology: The data used was obtained from Federal Road Safety Corps and complemented by the researchers’ field survey. Eight members of the research team went to the 24 bus stops identified each month rotationally. Both descriptive and inferential statistics were applied in the analysis. Results: There was a high correlation of mortality and road accident injuries as confirmed by r-value 0.7 using pearson product moment correlation. Accidents occur most in the morning and afternoon and the season with most accident occurrence was the dry season. The combination of over speeding and other factors were the major causes of road accidents. Limitations: The study used data published in 2016, although a follow-up data verification was conducted in 2017 and 2018. Therefore, the study is old and the results might have changed and might not necessarily be reliable. Contribution: Road accidents hot spots areas, causes, and patterns were exposed to guide the road users in order to avoid the accident. The study can also be replicated in other study areas with similar characteristics.


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