scholarly journals METHODOLOGY EXPERT STUDY OF ROAD TRANSPORT ACCIDENT WITH PEDESTRIAN RIDING

2022 ◽  
Vol 1 (15) ◽  
pp. 159-164
Author(s):  
Yuliya Poltavskaya
Keyword(s):  
Road Transport ◽  
Road Accident ◽  
Specific Situation ◽  
Road Accidents ◽  
Technical Ability ◽  
Expert Study

The article presents a methodology for an expert study of a road accident with a collision with a pedestrian, which is aimed at determining whether a vehicle driver has the technical ability to avoid a collision in a specific situation. In addition, an analysis of methods is presented with a description of the stages of research and patterns of movement of a vehicle and a pedestrian before the occurrence of an accident. The presented technique can be used by experts in the investigation of road accidents

scholarly journals Road Transport Accidents in Nigeria and the Role of Automotive Active Safety System

2016 ◽  
Vol 11 (1) ◽  
pp. 49-54
Author(s):  
Olasunkanmi Oriola Akinyemi ◽  
Hezekiah O Adeyemi ◽  
Olusegun Jinadu
Keyword(s):  
Traffic Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Transportation Network ◽  
Road Transport ◽  
Road Accident ◽  
Active Safety ◽  
Road Accidents ◽  
Road Transportation ◽  
Road Traffic Safety

Abstract Analysis of road traffic accidents revealed that most accidents are as a result of drivers’ errors. Over the years, active safety systems (ASS) were devised in vehicle to reduce the high level of road accidents, caused by human errors, leading to death and injuries. This study however evaluated the impacts of ASS inclusions into vehicles in Nigeria road transportation network. The objectives was to measure how ASS contributed to making driving safer and enhanced transport safety. Road accident data were collected, for a period of eleven years, from Lagos State Ministry of Economic Planning and Budget, Central Office of Statistics. Quantitative analysis of the retrospective accident was conducted by computing the proportion of yearly number of vehicles involved in road accident to the total number of vehicles for each year. Results of the analysis showed that the proportion of vehicles involved in road accidents decreased from 16 in 1996 to 0.89 in 2006, the injured persons reduced from 15.58 in 1998 to 0.3 in 2006 and the death rate diminished from 4.45 in 1998 to 0.1 in 2006. These represented 94.4 %, 95 % and 95 % improvement respectively on road traffic safety. It can therefore be concluded that the inclusions of ASS into design of modern vehicles had improved road safety in Nigeria automotive industry.

scholarly journals Modeling the Complexity of Road Accidents Prevention

2020 ◽  
Vol 9 (2) ◽  
pp. 24-41
Author(s):  
Alex Kizito ◽  
Agnes Rwashana Semwanga
Keyword(s):  
Traffic Safety ◽  
Police Officers ◽  
Road Transport ◽  
Road Accident ◽  
Road Accidents ◽  
Dynamic Interactions ◽  
The Road ◽  
Dynamic Synthesis ◽  
Road Users ◽  
Synthesis Methodology

Simplistic representations of traffic safety disregard the dynamic interactions between the components of the road transport system (RTS). The resultant road accident (RA) preventive measures are consequently focused almost solely on individual/team failures at the sharp end of the RTS (mainly the road users). The RTS is complex and therefore cannot be easily understood by studying the system parts in isolation. The study modeled the occurrence of road accidents in Uganda using the dynamic synthesis methodology (DSM). This article presents the work done in the first three stages of the DSM. Data was collected from various stakeholders including road users, traffic police officers, road users, and road constructors. The study focused on RA prevention by considering the linear and non-linear interactions of the variables during the pre-crash phase. Qualitative models were developed and from these, key leverage points that could possibly lower the road accident incidences demonstrating the need for a shared system wide responsibility for road safety at all levels are suggested.

High-Risk Road Accident Corridors in Dhaka, Bangladesh

2013 ◽  
Vol 65 (3) ◽  
Author(s):  
Ishtiaque Ahmed ◽  
Bayes Ahmed ◽  
Mohd. Rosli Hainin
Keyword(s):  
High Risk ◽  
Traffic Accident ◽  
Safety Management ◽  
Road Transport ◽  
Road Accident ◽  
Highway Safety ◽  
Road Accidents ◽  
Highway Safety Manual ◽  
Roadway Safety ◽  
Accident Data

Bangladesh has one of the highest fatality rates in road accidents and to address the safety problem is a serious concern. Dhaka is the most vulnerable city of the country. Bangladesh Road Transport Authority maintains a database of accidents using outdated software that lacks in geo-referencing facility.  This makes the analysis of accident locations a challenging task. The area for this study was the Dhaka Metropolitan Police area where the concerned forty one police stations are responsible for collecting traffic accident data. The Highway Safety Manual identifies the “Network Screening” as the first step of the Roadway Safety Management Process. This study focuses on locating the accidents on urban roadways in Dhaka and identifies thirty corridors and ranks them using geo-referenced data through developing and using a GIS database. Dhaka-Mymensing Road was found to be the most vulnerable road corridor followed by Airport Road and Mirpur Road respectively. The study recommended special attention and special “Diagnostic” studies as explained in the Highway Safety Manual for the high-risk corridors and to put emphasis on the accident data collection and reporting system. Adoption of modern technologies like GPS and GIS in collecting and reporting of the traffic accident data was emphasized.

scholarly journals Analysing Road Accident Criticality using Data mining

2019 ◽  
pp. 408-415
Author(s):  
Shahsitha Siddique V ◽  
Nithin Ramakrishnan
Keyword(s):  
Data Mining ◽  
Road Transport ◽  
Road Accident ◽  
Machine Learning Algorithms ◽  
Road Accidents ◽  
Decision Tree Classifier ◽  
Efficient Manner ◽  
Tree Classifier ◽  
Accident Severity ◽  
Accident Data

Road transport is one of the most vital forms of transportation system, connecting both long and short distances in our country. There are several attributes, which affect the intensity of a road accident like speed of the vehicle, road conditions, time of the accident etc. Analysing these attributes gives an idea about the factors lead to the severity of the accident. Data mining is a method to analyse huge amount of traffic data in an efficient manner, which gives the factors, affect the road accidents. Several machine learning algorithms can be used to find the relation between traffic attributes the lead to the severity of the accidents. In this work, we use three methods for predicting accident criticality. First, Naive Bayesian Classifier is used to get the accident severity based on Bayes rule. Then, Decision Tree classifier is used for same purpose for accident severity calculation. Finally K-Nearest Neighbour(KNN) classifier is employed for severity calculation. The accuracy of the algorithms are compared and it is found that KNN performs better than the other two algorithms employed. The major aim of the work is to find the accident severity. Also the work aims to reduce road accidents by giving awareness to public using the above method.

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 Vehicle accident frequencies on the example of Poland and Slovakia in 2010-2020

2021 ◽  
Vol 129 ◽  
pp. 11003
Author(s):  
Damian Frej ◽  
Marek Jaśkiewicz
Keyword(s):  
European Union ◽  
Value Added ◽  
Road Transport ◽  
Road Accident ◽  
General Description ◽  
The European Union ◽  
Road Accidents ◽  
Vehicle Accident ◽  
Trade Turnover ◽  
Trade Route

Research background: The article presents a general description of the safety problem in Polish and Slovak road transport in 2010-2020. Poland and Slovakia, as neighboring countries of the European Union, are connected with each other by the trade route (Baltic-Adriatic). Moreover, it should be noted that in 2019, the trade turnover between Poland and Slovakia amounted to EUR 10.35 billion. Poland is the third largest trade partner of Slovakia. The energy and automotive industries are among the most promising commercial areas of these countries. The downward trend in the number of accidents and fatalities shows Slovakia and Poland at the same level of safety. Purpose of the article: The main aim of the article is to discuss the topic of road accidents in Poland and Slovakia, taking into account the perspectives of "Vision Zero". Because both Poland and Slovakia, along with other European Union Member States, are required to reduce the number of road fatalities by 2030 and eliminate them completely by 2050. Methods: The article presents a statistical analysis of road accidents in Poland and Slovakia in 2010-2020. Based on statistical data, a road accident forecast for 2020-2030 has been prepared. Findings & Value added: Forecasts for the number of people killed in road accidents estimate that in 2030 29 people per million inhabitants will die on Polish roads, while 27 people per million inhabitants will die on Slovak roads.

scholarly journals Accident Severity in India

2020 ◽  
Vol 8 (12s3) ◽  
pp. 55-58
Keyword(s):  
Statistical Analysis ◽  
Road Transport ◽  
Road Accident ◽  
The Other ◽  
Road Accidents ◽  
Transportation Services ◽  
The Road ◽  
Accident Severity

Among all the transportation services available, road transport is one of the most important services available. It acts as a feeder for the other services. According to the Ministry of Road Transport and Highways, the road transport amounts to the traffic of about 87% related to the passenger and 60% related to the freight. Now, there is another field, where road transport is among the top list and that field is of road accidents. In 2016, about 150785 people died in road accidents. And as the population is increasing, there is also an increase in the rate of road accidents. So, it is vital to analyze the data of road accidents for future predictions and thereby developing proper measures for this increasing rate. Many factorsresult in accidents and many cases might not have been recorded. So, the available data may not be consistent, but the data is gathered mainly from the Ministry of Road Transport and Highways and then the information was extracted from that data. This information is used for the statistical analysis for the prediction of a future road accident or accident severity.

scholarly journals Improving the quality of auto-technical examination of road accidents in conditions of composition uncertainty

2021 ◽  
Vol 12 (2) ◽  
pp. 61-67
Author(s):  
Andriy Kashkanov ◽  
◽  
Serhiy Reiko ◽  
Vasyl Diorditsa ◽  
Vitaliy Kashkanov ◽  
...  
Keyword(s):  
Motor Vehicle ◽  
Road Transport ◽  
Road Accident ◽  
Type I ◽  
Road Accidents ◽  
Estimation Of Parameters ◽  
Expert Opinions ◽  
Technical Examination ◽  
Improved Technique ◽  
Type Ii Errors

Decision-making in solving the problems of auto technical examination of road accidents (road accidents) is carried out in conditions of incomplete information, ie in conditions of uncertainty, which may be stochastic or fuzzy in nature, and therefore is compositional. When forming expert opinions of auto technical examination of road accident the general uncertainty is formed due to uncertainty of the chosen structure of model of road accident, experimental data, error of measuring devices, adequacy of model of road accident, uncertainty of indications of witnesses and other proofs, competence and honesty of the expert. The calculation of vehicle parameters in motor vehicle expertise in the vast majority of cases is performed without estimating the error of the results, which does not meet the requirements of the Law of Ukraine "On Metrology and Metrological Activity" and determines the relevance of improving methods of solving road accident technical examination. The paper reveals the prospects of improving the existing methods of assessing the effectiveness of braking of wheeled vehicles, as the main way to prevent accidents in road transport, which is regulated by the current Traffic Rules. The basic theoretical dependences which form a basis of the improved technique of estimation of parameters of movement of cars at braking are presented. Analysis of the results of the calculations shows that by taking into account the design of the braking system, type and condition of tires used in assessing braking efficiency, the improved technique avoids the same solutions within one category of vehicles, and taking into account stochastic and fuzzy uncertainty narrows the range of possible solutions by 49.4 %. The probability of occurrence of type I errors is reduced by 1.75-18.5%, and type II errors - by 43.1-67.8%.

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 Assessment of logistical support for road maintenance to manage road accidents in Vhembe district municipalities

2019 ◽  
Vol 11 (3) ◽  
Author(s):  
Peter Bikam
Keyword(s):  
Service Providers ◽  
Road Accident ◽  
Motor Vehicles ◽  
Road Maintenance ◽  
Road Accidents ◽  
Deficit Model ◽  
Technology Innovations ◽  
Operations And Maintenance ◽  
Materials Used ◽  
Vhembe District

This article discusses the problems of logistical support for road maintenance to manage road accidents in Vhembe district municipalities. A budget deficit model was used to explain the level of inadequate logistics support to manage operations and maintenance of municipal roads as a preventative measure against road accident and disaster risks. A hypothetical road maintenance deficit model informed by current literature on road maintenance was used to explain how cost of road maintenance increases exponentially if initial maintenance was not undertaken when the facility was newly constructed to draw the link between road maintenance and the risk of road accidents. Inadequate logistical support to address road maintenance backlogs in Vhembe district municipalities has been on the increase over the last 10 years. Current studies show that inadequate road maintenance can lead to the development of potholes – a major cause of road accidents and damages to motor vehicles. Literature on logistics support emphasises a comprehensive approach to road maintenance to provide a balance between funding, routine maintenance, quality of materials used for maintenance, use of stipulated specifications, the required maintenance technology, innovations and employment of qualified service providers to ensure quality roads and reduction of accidents on municipal roads.

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