scholarly journals Contactless Automated Express Evaluation of Damages to a Car Body by Visual Parameters

2019 ◽  
Vol 18 (6) ◽  
pp. 471-475
Author(s):  
M. Tarasovа ◽  
N. Filkin ◽  
R. Yurtikov
Keyword(s):  
Road Safety ◽  
Human Factor ◽  
Road Accident ◽  
The Body ◽  
Road Accidents ◽  
Car Body ◽  
The Road ◽  
Accident Data ◽  
Established Fact ◽  
Time Required

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.

scholarly journals New method of predicting the occurrence of road accidents in Ukraine

2021 ◽  
Author(s):  
Valerii Vyrozhemskyi ◽  
Liudmyla Nahrebelna ◽  
Minenko Yevhen ◽  
Nataliia Bidnenko
Keyword(s):  
Road Safety ◽  
Road Accident ◽  
The European Union ◽  
Road Accidents ◽  
Safety Level ◽  
The Road ◽  
The Past ◽  
Current Period ◽  
Road Users ◽  
Accident Data

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.

scholarly journals Road Safety Assessment Considering the Expected Fatal Accident Density

2020 ◽  
Vol 15 (2) ◽  
pp. 31-48
Author(s):  
Vilma Jasiūnienė ◽  
Rasa Vaiškūnaitė
Keyword(s):  
Road Safety ◽  
Safety Assessment ◽  
Safety Management ◽  
Road Accident ◽  
Fatal Accident ◽  
Road Infrastructure ◽  
The Road ◽  
Management Procedures ◽  
Accident Data ◽  
Wide Road

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.

scholarly journals The Effects of Roadside Hazards on Road Accident Severity

2019 ◽  
Vol 49 (2) ◽  
pp. 319-339 ◽  
Author(s):  
Marcin Budzyński ◽  
Kazimierz Jamroz ◽  
Łukasz Jeliński ◽  
Anna Gobis
Keyword(s):  
Road Safety ◽  
Road Accident ◽  
Road User ◽  
Road Accidents ◽  
Safety Equipment ◽  
Design Rules ◽  
The Road ◽  
Run Off ◽  
Safety Strategies ◽  
Accident Severity

Abstract The risk of becoming involved in an accident emerges when elements of the transport system do not operate properly (man – vehicle – road – roadside). The road, its traffic layout and safety equipment have a critical impact on road user safety. This gives infrastructural work a priority in road safety strategies and programmes. Run-off-road accidents continue to be one of the biggest problems of road safety with consequences including vehicle roll-over or hitting a roadside object. This type of incident represents more than 20% of rural accidents and about 18% of all road deaths in Poland. Mathematical models must be developed to determine how selected roadside factors affect road safety and provide a basis for new roadside design rules and guidelines.

scholarly journals Identification of Road Accident by using Black Spot Method Between Panthaghati to Dhalli Road

2020 ◽  
Vol 9 (2) ◽  
pp. 723-728
Keyword(s):  
Road Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Black Spot ◽  
Research Paper ◽  
Road Accident ◽  
Road Traffic Accidents ◽  
Road Accidents ◽  
The Road ◽  
Black Spots

In India road accidents are very serious problem because of large population and high traffic density of vehicles. Most of the road accidents occur mainly due to the negligence of driver and poor infrastructure only a few accidents occur due to the technical error of vehicles. The main purpose of this research paper is prevention of road traffic accidents and improvement of road safety in Shimla. Road safety is very important aspect of today’s life, so it is important that everybody should aware about road safety. To do this study a section of 12km length is chosen between Panthaghati to Dhalli in district Shimla on NH 5 where accidents black spots are identified for the section by analyzing secondary data used to prevent road accidents. In this study primary data is used for observing the road conditions and secondary data is used to find accidents black spot. Black Spot is a point or a place on the road where road accident occurs repeatedly one after another which is known as accident black spot. To identify these black spots we use weighted severity index (WSI) method. It is one the most reliable and effective method for determining the most proven accidents black spots. Shimla is a hilly area and it has narrow roads, blind curve and black spots which increase the chances of road traffic accidents. In past recent years road traffic accidents are increasing in Shimla and this study deals with identification of major issues causing road traffic accidents. This research paper helps to improve the road safety in Shimla because in this study the analysis has been done to identify the major problems responsible for gradually increasing road accidents. This research paper is also used in future research paper as reference purpose and it will also provide an overview to other researchers who want do their research on similar kind of topics.

scholarly journals Prioritization of Black Spots in Hilly Road Segment using Road Engineering Data

2020 ◽  
Vol 9 (3) ◽  
pp. 4418-4422
Keyword(s):  
Black Spot ◽  
Road Transport ◽  
Road Accident ◽  
Industrialized Countries ◽  
Road Accidents ◽  
Road Engineering ◽  
The Road ◽  
Black Spots ◽  
Accident Data ◽  
On The Road

Road accidents are one of the causes of disability, injury and death. As per the latest road accident data released by the Ministry of Road Transport & Highways (MoRTH), the total number of accidents increased by 2.5 percent from 4,89,400 in 2014 to 5,01,423 in 2015. The analysis reveals that about 1,374 accidents and 400 deaths take place every day. Every single year, it has been estimated that over three lakh persons die and 10-15 million persons are injured in road accidents throughout the world. According to the analyses, statistics of global accident indicate that in developing countries, the rate of fatality per licensed vehicle is very high as compared to that of industrialized countries. A road stretch of about 500 metres in length in which either ten fatalities or five road accidents (involving grievous injuries/fatalities) took place during last three calendar years, on National Highways is considered as a road accident black spot according to MoRTH, Government of India. In the present study the identified black spots of Haridwar and Dehradun city were included comprising of a total of 81 black spots out of which there were 49 black spots which were identified in Dehradun followed by 32 black spots in Haridwar. The present study was an attempt to carry out the prioritization of these identified blackspots with respect to the factors that were considered to evaluate accident prone locations on the road. The identified black spots were then prioritized using the classification scheme (ranking from low to high).The study reveals that the advantage of using this approach for prioritizing accident black spots on roads is that it requires very less additional data other than the road network maps.

scholarly journals PENDEKATAN SISTEM DALAM PENANGANAN KESELAMATAN JALAN

2018 ◽  
Vol 1 (1) ◽  
pp. 39
Author(s):  
Vita Mayastinasari
Keyword(s):  
Information System ◽  
Traffic Safety ◽  
Road Safety ◽  
Traffic Accident ◽  
Human Factor ◽  
Road Traffic ◽  
Road Accident ◽  
Information Resources ◽  
The Road ◽  
Road Traffic Safety

Various traffic safety efforts that aimed to reduce the number of traffic accident victims on road. Traffic safety is a program to reduce the number of accidents either the consequences. Tendency of road accident causes are human factor, therefore is needed a system approach to handle traffic safety that include four aspects, that is 1) Process; 2) Infrastructure; 3) Management; 4) Coordination and integration. Safer road can not be achieved if only just using the strategy, but the capacity of institution is needed by coordination and integration amongst the ministries of the institution. Coordination and integration as a form of synergy among the ministries of the institution to handle the road safety conducted by sharing the role to handle various road safety related areas by using the Information Resources Information System – IRIS. Berbagai upaya keselamatan lalu lintas yang bertujuan menurunkan korban kecelakaan lalu lintas di jalan. Keselamatan lalu lintas merupakan suatu program untuk menurunkan angka kecelakaan beserta seluruh akibatnya. Kecenderungan penyebab kecelakaan lalu lintas adalah faktor manusia, sehingga diperlukan pendekatan sistem dalam penanganan keselamatan jalan yang mencakup empat aspek, yaitu: 1) Proses; 2) Infrastruktur; 3) Manajemen; 4) Koordinasi dan integrasi. Keselamatan jalan tidak dapat terwujud hanya dengan menggunakan strategi, namun dibutuhkan kapasitas kelembagaan melalui koordinasi dan integrasi antar kementerian lembaga. Koordinasi dan integrasi sebagai wujud sinergitas antar kementerian lembaga dalam penanganan keselamatan jalan dilakukan dengan berbagi peran dalam menangani berbagai bidang yang terkait keselamatan jalan dengan menggunakan sistem informasi sumber daya informasi (Information Resources Information System-IRIS).

scholarly journals Simulation Study of the Effect of Decreasing Truck Traffic Flow on Safety on Almeria-Barcelona Corridor

2016 ◽  
Author(s):  
Bahar Dadashova
Keyword(s):  
Traffic Flow ◽  
Simulation Study ◽  
Road Safety ◽  
Negative Binomial ◽  
Road Accidents ◽  
Truck Traffic ◽  
Modal Shift ◽  
The Road ◽  
Accident Data ◽  
Average Annual Daily Traffic

In this paper the effect of truck traffic on road safety has been analyzed through simulation study. The main objective of the study is to quantify the effect of the decreasing average annual daily traffic of heavy duty vehicles (trucks) on road safety. As the road safety indicators the frequency road accidents is considered. The data used in the study were collected from one of the most crowded routes in Spain which connects Almeria (south-east) with Barcelona (northeast). The observed data covers year 2010 and were classified into 2 road types: dual carriageways and toll roads. The estimation was carried out using negative binomial model and Markov Chain Monte Carlo simulation. Using the estimation results new traffic scenarios were proposed where the traffic flow is assumed to change its values. A total of 33 scenarios were proposed and new accidents data were generated through MCMC sampling. The comparison of the simulated and observed accident data shows that the effect of decreasing truck traffic flow could meliorate road safety in the route. The simulation tool could be applied to evaluate the effects of freight modal shift from road to rail.DOI: http://dx.doi.org/10.4995/CIT2016.2016.4214

scholarly journals Brainy Road Accident Mitigation System

2021 ◽  
Vol 9 (VIII) ◽  
pp. 249-251
Author(s):  
Dr. B. M. Vidyavathi
Keyword(s):  
Road Safety ◽  
Large Scale ◽  
Road Transport ◽  
Road Accident ◽  
Road Accidents ◽  
Road Crashes ◽  
The Road ◽  
Road Crash ◽  
On The Road ◽  
The City

Many precious lives are lost due to road accidents because of over speeding and negligent driving every day. This is the matter of great concern for departments that deal with road safety and for the citizens. It is estimated that 80% of crashes and 65% of near collisions are due to driver’s lack of attention to traffic for three seconds before the event. The number of road crash deaths has increased by 31% from 2007 to 2017. As per the survey on the road accidents in India, according to the Ministry of Road Transport and Highways, 1, 50,785 people were killed and another 4, 94,624 were injured in 4, 80,652 road crashes in India in 2016. Now day’s accidents are taking place at large scale. Majority of the accidents occurs due to the over speeding of vehicles, though there are speed limiting boards placed at the roadside of highways also at the road side in the city. But none of vehicles (drivers) follows the speed mentioned in the speed limit boards, due to which accidents occurs.

scholarly journals Predicting and Preventing Recommender System for Telangana Road Accidents

2020 ◽  
Vol 8 (6) ◽  
pp. 1353-1358
Keyword(s):  
Road Safety ◽  
Recommendation System ◽  
Similarity Measures ◽  
Road Accident ◽  
Road Accidents ◽  
Driver Behaviour ◽  
Accident Prediction ◽  
The Road ◽  
Model Recognition

Today people are suffering with road accidents in world wide. Analyzing these Road accidents are the major challenge in identifying and predicting primary features related with catastrophes. All these features are valuable for anticipatory computes to conquer road mishaps. Integrating various analytics techniques can get better model recognition and avoid road mishaps. As road safety growing quiet apprehension, speedy analytics observes all safety techniques in dynamic to spot malfunction that may signifies road mishaps on identifying key features related with road , mishaps in Telangana state. In our propose work, a framework to analyze the road mishap with classification of accidents and clustering, which analyze mishap data of Telangana stated district wise. The proposed framework describes the recommendation system for predicting road accidents. For this, classify the road accidents into fatal, major and minor. We implemented district wise data into clustering and applying enhanced k-mean algorithm. Further, implemented similarity measures to detecting the places where the severity of accidents happened and also analysing the driver behaviour analysis while accidents occur. The implementation result reveals that the road accident prediction exhibits enhance in certain areas and those areas exists in districts should be the major concern to acquire anticipatory measure to conquer the road mishaps.

Improving the system of road safety indicators in the analysis of the quality of motor vehicle transportation

2021 ◽  
pp. 85-98
Author(s):  
O. V. Mayboroda ◽  
◽  
B. A. Sarymsakov ◽  
Keyword(s):  
Traffic Flow ◽  
Road Safety ◽  
Road Traffic ◽  
Road Accident ◽  
Social Risk ◽  
Road Accidents ◽  
Average Speed ◽  
Safety Coefficient ◽  
The Road ◽  
Probability Of Death

The article presents the results of the development of an integral indicator of road safety - the road safety coefficient. The value of the road safety coefficient shows how many times, at the same levels of motorization, the risk of death of a resident in road traffic (social risk) decreased/increased in comparison with the average social risk that existed in the world in the 40s of the last century, when there were no special programs on improving road safety. The use of the road safety coefficient allows you to compare the level of road safety in countries and regions with different populations and different levels of motorization. It is shown that social risk is a complex indicator, the value of which depends on the indicators of road safety at a lower level - the probability of participation of a resident in road traffic, which is equal to the value of motorization, the probability of death of a road user (transport risk), the probability of a road accident (active road safety), the intensity of road accidents (reliability of driving) and the average annual mileage of the car, the probability of death in a road accident (passive and post-accident safety). An equation is obtained that relates the value of social risk to the values of lower-level road safety indicators. The analysis of the level of road safety in Kyrgyzstan is carried out. It is shown how the condition of the traffic flow affects its average speed and the probability of road accidents. The influence of traffic flow density on its average speed and intensity of road accidents is considered. To assess the impact of the condition of a traffic flow on its average speed and road safety, the concept of the conventional density of a traffic flow is used. It is revealed that in the road conditions of Kyrgyzstan there is a critical conventional density, when exceeding it the transport risk, the probability of a road accident and the probability of death in a road accident begin to decrease rapidly with a further increase in the conventional density. The low efficiency of detection of exceeding a permitted speed when measuring the maximum speed of cars at certain points is shown. It is proposed to use the measurement of average speed on certain road sections as a means of reducing the number of drivers exceeding the speed limit.

Sign in / Sign up

Export Citation Format

Share Document