scholarly journals For Preventative Automated Driving System (PADS): Traffic Accident Context Analysis Based on Deep Neural Networks

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1829
Author(s):  
Minhee Kang ◽  
Jaein Song ◽  
Keeyeon Hwang
Keyword(s):  
Traffic Accident ◽  
Traffic Accidents ◽  
Deep Neural Networks ◽  
Time Of Day ◽  
Automated Driving ◽  
Context Analysis ◽  
Driving System ◽  
Vehicle Type ◽  
Fast Development ◽  
Day Of The Week

Automated Vehicles (AVs) are under development to reduce traffic accidents to a great extent. Therefore, safety will play a pivotal role to determine their social acceptability. Despite the fast development of AVs technologies, related accidents can occur even in an ideal environment. Therefore, measures to prevent traffic accidents in advance are essential. This study implemented a traffic accident context analysis based on the Deep Neural Network (DNNs) technique to design a Preventive Automated Driving System (PADS). The DNN-based analysis reveals that when a traffic accident occurs, the offender’s injury can be predicted with 85% accuracy and the victim’s case with 67%. In addition, to find out factors that decide the degree of injury to the offender and victim, a random forest analysis was implemented. The vehicle type and speed were identified as the most important factors to decide the degree of injury of the offender, while the importance for the victim is ordered by speed, time of day, vehicle type, and day of the week. The PADS proposed in this study is expected not only to contribute to improve the safety of AVs, but to prevent accidents in advance.

scholarly journals Development, and Internal, and External Validation of a Scoring System to Predict 30-Day Mortality after Having a Traffic Accident Traveling by Private Car or Van: An Analysis of 164,790 Subjects and 79,664 Accidents

2020 ◽  
Vol 17 (24) ◽  
pp. 9518
Author(s):  
Antonio Palazón-Bru ◽  
María José Prieto-Castelló ◽  
David Manuel Folgado-de la Rosa ◽  
Ana Macanás-Martínez ◽  
Emma Mares-García ◽  
...  
Keyword(s):  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Seat Belt ◽  
External Validation ◽  
Vehicle Type ◽  
Risk Of Mortality ◽  
Key Points ◽  
Group A ◽  
Private Car

Predictive factors for fatal traffic accidents have been determined, but not addressed collectively through a predictive model to help determine the probability of mortality and thereby ascertain key points for intervening and decreasing that probability. Data on all road traffic accidents with victims involving a private car or van occurring in Spain in 2015 (164,790 subjects and 79,664 accidents) were analyzed, evaluating 30-day mortality following the accident. As candidate predictors of mortality, variables associated with the accident (weekend, time, number of vehicles, road, brightness, and weather) associated with the vehicle (type and age of vehicle, and other types of vehicles in the accident) and associated with individuals (gender, age, seat belt, and position in the vehicle) were examined. The sample was divided into two groups. In one group, a logistic regression model adapted to a points system was constructed and internally validated, and in the other group the model was externally validated. The points system obtained good discrimination and calibration in both the internal and the external validation. Consequently, a simple tool is available to determine the risk of mortality following a traffic accident, which could be validated in other countries.

scholarly journals Analysis of Road Traffic Accidents in Turkey between 2013 and 2017

Medicina ◽  
2019 ◽  
Vol 55 (10) ◽  
pp. 679 ◽  
Author(s):  
Ali Kemal Erenler ◽  
Burak Gümüş
Keyword(s):  
Developing Countries ◽  
Rural Areas ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Chi Square ◽  
Mortality And Morbidity ◽  
Vehicle Type ◽  
Statistical Institute ◽  
Chi Square Test

Introduction: Road traffic accident (RTAs) is one of the top ten leading causes of death worldwide and its incidence is higher in developing countries. In this study, our aim was to determine the characteristics of RTAs in Turkey and make recommendations to reduce mortality and morbidity related to RTAs. Material and Methods: We obtained our data, which cover the years 2013 to 2017, from the database accessible at the official website of the Turkish Statistical Institute, which permits the use of its data for research purposes. The chi-square test was used for statistical analysis, and the percentage distribution and odds ratios were calculated. Results: In the study period, a total of 697,957 RTAs occurred in Turkey. A total of 1,168,121 individuals have been wounded and 3534 of them have lost their lives. The majority of RTAs occurred on weekends and in summer months. Male individuals are more likely to be exposed to death and injuries related to accidents. When the vehicle type is considered, motorcycle drivers are under more risk for RTAs. RTAs are more likely to occur in rural areas. Conclusion: Male individuals and motorcyclists are under a great risk for RTAs. Strict laws are mandatory in order to reduce morbidity and mortality related to RTAs. Additionally, educational efforts must focus on two-wheelers and tractor drivers, particularly in developing countries.

scholarly journals Driver and vehicle type parameters' contribution to traffic safety in UAE

2013 ◽  
Vol 7 (2) ◽  
pp. 403-430 ◽  
Author(s):  
Sharaf A. Alkheder ◽  
Reem Sabouni ◽  
Hany El Naggar ◽  
Abdul Rahim Sabouni
Keyword(s):  
Traffic Safety ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Time Interval ◽  
Road Accidents ◽  
Vehicle Type ◽  
Traffic Awareness ◽  
Safety Studies ◽  
Awareness Programs ◽  
Involvement Rate

Former traffic safety studies showed clearly that driver or human factor is a major contributor to road accidents. Hence, to better understand the traffic accident nature it's so vital to analyze all characteristics related to drivers involved in these accidents. This article focuses on this aspect through using a dataset representing UAE traffic accidents in the time interval between 2007 and 2010. A major focus was given in this article to analyzing the relation between traffic accidents and driver citizenship for all types of involved vehicles. This was due to the fact that drivers in UAE came from different backgrounds (over than 100 citizenships) and hence it's so important to identify citizenships with major involvement in road accidents for each vehicle type. This will allow traffic authorities to give special attentions to these citizenships and vehicle types through special traffic awareness programs, fining system or other preventive measures aiming to reduce the accidents frequency and severity levels. Results indicated that for all types of vehicles emirates nationals drivers represent the citizenship with the highest involvement rate in traffic accidents (30.02%) followed by Pakistanis (21.26%) then comes the Indians drivers with a percentage of 11.95%. Light vehicle type traffic accidents statistics shows that a general trend can be seen for all citizenships where there is an increase in the number of traffic accidents over the course of the three years. The main contribution of the paper is its uniqueness in analyzing such accidents database after the implementation of the new unified traffic law in UAE.

Geophysical Variables and Behavior: LXVIII. Distal and Lunar Variables and Traffic Accidents in Saskatchewan 1984 to 1989

1992 ◽  
Vol 74 (2) ◽  
pp. 483-488 ◽  
Author(s):  
W. H. Laverty ◽  
I. W. Kelly ◽  
M. Flynn ◽  
J. Rotton
Keyword(s):  
Traffic Accident ◽  
Traffic Accidents ◽  
Linear Trend ◽  
Lunar Phase ◽  
Severe Accidents ◽  
Time Period ◽  
Day Of The Week ◽  
And Behavior ◽  
Trigonometric Term ◽  
Daily Total

The daily total number of traffic accidents and traffic accident severity for the years 1984 to 1989 in Saskatchewan were analyzed to estimate relationships with day of the week, season of the year, and various lunar variables (lunar phase, distance of the moon from the earth, and moon-sun tidal index). A regression model with both a linear term and a trigonometric term was fitted to the data. No relationship between lunar cycles and total accidents or severity of accident was found. A larger number of total accidents was found during the winter months and weekends; however, more severe accidents tended to occur during the summer months. A slight linear trend was uncovered for total accidents over the time period under consideration.

scholarly journals Method of Light Bulbs Analysis on Vehicles Damaged in Traffic Accidents

2012 ◽  
Vol 22 (4) ◽  
pp. 259-271 ◽  
Author(s):  
Rajko Horvat ◽  
Berislav Barišić-Jaman ◽  
Gordan Mršić ◽  
Igor Špoljarić ◽  
Andro Vrdoljak ◽  
...  
Keyword(s):  
Traffic Safety ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Scientific Research ◽  
Time Of Day ◽  
Light Bulb ◽  
The Road ◽  
Road Traffic Safety ◽  
The Moment

One of the measures to increase road traffic safety in Croatia is the introduction of obligatory use of daily lights on vehicles in road traffic during driving, regardless of the visibility and the time of day. The paper describes the new original technical and technological procedure of analysing automotive light bulbs in order to find the traces of glass particles of the broken glass balloon in the marginal cases of action of small inertia forces generated as result of a traffic accident. Investigations of light bulbs in traffic accidents had been rarely done before; therefore the subject of this scientific research is the analysis of the light bulb filament used in automobiles to light the road ahead and to give light signals, i.e. all the light signalling devices on the automobile using the new technical and technological procedure by means of SEM/EDX method. The scientific research has improved the investigation procedure in analysing the light bulbs on automobiles in determining whether at the moment of the traffic accident the regulatory lights were switched on. In determining the responsibility of participants for causing the traffic accident, such a fact may sometimes be of crucial significance. KEY WORDS: traffic accident, light bulb, technical and technological procedure, lights in traffic, microscope, molten glass particles

ADHD is a Risk Factor of Road Crashes: A Purposive Study of Finding Relation between ADHD and Road Traffic Accident in Bangladesh

2018 ◽  
Vol 9 (08) ◽  
pp. 20531-20536
Author(s):  
Nusrat Shamima Nur ◽  
M. S. l. Mullick ◽  
Ahmed Hossain
Keyword(s):  
Risk Factor ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Fatality Rate ◽  
Road Traffic Accidents ◽  
Road Crashes ◽  
Road Crash ◽  
Day By Day

Background: In Bangladesh fatality rate due to road traffic accidents is rising sharply day by day. At least 2297 people were killed and 5480 were injured in road traffic accidents within 1st six months of 2017.Whereas in the previous year at 2016 at least 1941 people were killed and 4794 were injured within the 1st six months. No survey has been reported in Bangladesh yet correlating ADHD as a reason of impulsive driving which ends up in a road crash.

scholarly journals Behavioral Dynamics of Pedestrians Crossing between Two Moving Vehicles

2020 ◽  
Vol 10 (3) ◽  
pp. 859 ◽  
Author(s):  
Soon Ho Kim ◽  
Jong Won Kim ◽  
Hyun-Chae Chung ◽  
Gyoo-Jae Choi ◽  
MooYoung Choi
Keyword(s):  
Traffic Accidents ◽  
Vehicle Speed ◽  
Mathematical Tool ◽  
Vehicle Type ◽  
Behavioral Dynamics ◽  
Moving Vehicles ◽  
Bearing Angle ◽  
Human Participants ◽  
Crossing Point ◽  
Insight Into

This study examines the human behavioral dynamics of pedestrians crossing a street with vehicular traffic. To this end, an experiment was constructed in which human participants cross a road between two moving vehicles in a virtual reality setting. A mathematical model is developed in which the position is given by a simple function. The model is used to extract information on each crossing by performing root-mean-square deviation (RMSD) minimization of the function from the data. By isolating the parameter adjusted to gap features, we find that the subjects primarily changed the timing of the acceleration to adjust to changing gap conditions, rather than walking speed or duration of acceleration. Moreover, this parameter was also adjusted to the vehicle speed and vehicle type, even when the gap size and timing were not changed. The model is found to provide a description of gap affordance via a simple inequality of the fitting parameters. In addition, the model turns out to predict a constant bearing angle with the crossing point, which is also observed in the data. We thus conclude that our model provides a mathematical tool useful for modeling crossing behaviors and probing existing models. It may also provide insight into the source of traffic accidents.

scholarly journals Driver intervention performance assessment as a key aspect of L3–L4 automated vehicles deployment

2021 ◽  
Vol 11 (1) ◽  
pp. 845-852
Author(s):  
Aleksandra Rodak ◽  
Paweł Budziszewski ◽  
Małgorzata Pędzierska ◽  
Mikołaj Kruszewski
Keyword(s):  
Performance Assessment ◽  
Minimal Risk ◽  
Automated Vehicles ◽  
Automated Driving ◽  
Driving System ◽  
Driving Task ◽  
Driving Conditions

Abstract In L3–L4 vehicles, driving task is performed primarily by automated driving system (ADS). Automation mode permits to engage in non-driving-related tasks; however, it necessitates continuous vigilance and attention. Although the driver may be distracted, a request to intervene may suddenly occur, requiring immediate and appropriate response to driving conditions. To increase safety, automated vehicles should be equipped with a Driver Intervention Performance Assessment module (DIPA), ensuring that the driver is able to take the control of the vehicle and maintain it safely. Otherwise, ADS should regain control from the driver and perform a minimal risk manoeuvre. The paper explains the essence of DIPA, indicates possible measures, and describes a concept of DIPA framework being developed in the project.

The Analysis and Research of Traffic Accident Velocity Based on C#

2014 ◽  
Vol 505-506 ◽  
pp. 1137-1142
Author(s):  
Li Lin ◽  
Ting Ting Lv
Keyword(s):  
Traffic Accident ◽  
Traffic Accidents ◽  
Front Face ◽  
Vehicle Speed ◽  
Application Range ◽  
Collision Type ◽  
Side Collision ◽  
Speed Identification ◽  
Important Basis ◽  
Collision Angle

In the process of the traffic accidents confirmation, the identification of vehicle speed when accident occurred is often an important basis for accident confirmation. The paper firstly discusses the models of mechanics and solving method for the vehicle front face, rear end, sides face ,slanted side collision based on the theory of collision mechanics ,it describes how to identify the vehicle rate and collision angle based on the model simplification, the theoretical analysis for dealing with the complicated accidents. The common and formulas are studied based on the classical collision mechanics method. The application range, parameters involved in selection and influence of the formulas are analyzed in detail. Finally the program based on C# is developed according to the identified calculation process for vehicle speed of traffic accident. The vehicle speed is obtained by selecting the collision type, entering the relevant accident pattern, inputting the parameters and clicking the command button .The application can store, modify and display results conveniently , improve efficiency on vehicle speed identification effectively and reduce the processing cycle of traffic accident availably.

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