scholarly journals RECONSTRUCTION OF 3D ACCIDENT SCENE FROM MULTIROTOR UAV PLATFORM

2020 ◽  
Vol XLIII-B2-2020 ◽  
pp. 451-458
Author(s):  
M. A. Mat Amin ◽  
S. Abdullah ◽  
S. N. Abdul Mukti ◽  
M. H. A. Mohd Zaidi ◽  
K. N. Tahar
Keyword(s):  
Traffic Accidents ◽  
3D Model ◽  
Oblique View ◽  
Flight Planning ◽  
The Road ◽  
Good Shape ◽  
3D Texture ◽  
Point Of Interest ◽  
On The Road ◽  
Accident Scene

Abstract. Traffic accidents are one of the major causes of fatality in developing countries. The aim of the study is to reconstruct accident scenes by using UAV photogrammetry. The methodology of this study is organised into four main phases which consist of preliminary work, flight planning, 3D model processing and analysis of the results. The 3D model was successfully generated by using Point of Interest (POI) flight planning. The 3D model showed that the results of the process produced good 3D texture where the two vehicles had good shapes and could be seen clearly from an oblique view. In addition, the effect of the tyres on the road could also be seen clearly and had good shape which were generated accurately. The accuracy values obtained from the POI technique and waypoint technique were 0.059m and 0.043m, respectively. Due to the availability of UAVs in the market at reasonable costs, photogrammetry offers the best alternative technique to other methods that have been used to reconstruct the accident scene.

Analysis of Vehicle–Pedestrian Interactive Behaviors near Unsignalized Crosswalk

2021 ◽  
pp. 036119812199906
Author(s):  
Byeongjoon Noh ◽  
Dongho Ka ◽  
David Lee ◽  
Hwasoo Yeo
Keyword(s):  
South Korea ◽  
Traffic Accidents ◽  
Road Traffic ◽  
The Road ◽  
Video Footage ◽  
Premature Deaths ◽  
Vehicle Velocity ◽  
Behavioral Features ◽  
Velocity Changes ◽  
On The Road

Road traffic accidents are a leading cause of premature deaths and globally pose a severe threat to human lives. In particular, pedestrians crossing the road present a major cause of vehicle–pedestrian accidents in South Korea, but we lack dense behavioral data to understand the risk they face. This paper proposes a new analytical system for potential pedestrian risk scenes based on video footage obtained by road security cameras already deployed at unsignalized crosswalks. The system can automatically extract the behavioral features of vehicles and pedestrians, affecting the likelihood of potentially dangerous situations after detecting them in individual objects. With these features, we can analyze the movement patterns of vehicles and pedestrians at individual sites, and understand where potential traffic risk scenes occur frequently. Experiments were conducted on four selected behavioral features: vehicle velocity, pedestrian position, vehicle–pedestrian distance, and vehicle–crosswalk distance. Then, to show how they can be useful for monitoring the traffic behaviors on the road, the features are visualized and interpreted to show how they may or may not contribute to potential pedestrian risks at these crosswalks: (i) by analyzing vehicle velocity changes near the crosswalk when there are no pedestrians present; and (ii) analyzing vehicle velocities by vehicle–pedestrian distances when pedestrians are on the crosswalk. The feasibility of the proposed system is validated by applying the system to multiple unsignalized crosswalks in Osan city, South Korea.

Real-Time V2V Communication With a Machine Learning-Based System for Detecting Drowsiness of Drivers

2021 ◽  
Vol 13 (4) ◽  
pp. 35-50
Author(s):  
Ahmed Y. Awad ◽  
Seshadri Mohan
Keyword(s):  
Machine Learning ◽  
Traffic Accidents ◽  
Ad Hoc ◽  
Economic Losses ◽  
Drowsy Driving ◽  
The Road ◽  
V2v Communication ◽  
Physical Injuries ◽  
On The Road ◽  
The U.S

This article applies machine learning to detect whether a driver is drowsy and alert the driver. The drowsiness of a driver can lead to accidents resulting in severe physical injuries, including deaths, and significant economic losses. Driver fatigue resulting from sleep deprivation causes major accidents on today's roads. In 2010, nearly 24 million vehicles were involved in traffic accidents in the U.S., which resulted in more than 33,000 deaths and over 3.9 million injuries, according to the U.S. NHTSA. A significant percentage of traffic accidents can be attributed to drowsy driving. It is therefore imperative that an efficient technique is designed and implemented to detect drowsiness as soon as the driver feels drowsy and to alert and wake up the driver and thereby preventing accidents. The authors apply machine learning to detect eye closures along with yawning of a driver to optimize the system. This paper also implements DSRC to connect vehicles and create an ad hoc vehicular network on the road. When the system detects that a driver is drowsy, drivers of other nearby vehicles are alerted.

A study on Private Car Accidents

2021 ◽  
Vol 11 (1) ◽  
pp. 10-24
Author(s):  
Abdulmajeed Alamri ◽  
Tarek M. Esmael ◽  
Sami Fawzy ◽  
Hany Hosny ◽  
Saleh Attawi ◽  
...  
Keyword(s):  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Road Traffic Injury ◽  
Economic Losses ◽  
Moving Vehicle ◽  
The Road ◽  
Lost Productivity ◽  
On The Road

In this study, road traffic injury (RTI) was defined as any injury resulting from a road traffic accident irrespective of severity and outcome. Road traffic accident (RTA) was defined as any crash on the road involving at least one moving vehicle, irrespective of it resulting in an injury. This could include collision with a vehicle or any non`moving object while driving/riding a vehicle, collision with a moving vehicle while walking/running/standing/ sitting on the road, or fall from a moving vehicle. The burden of road traffic accidents (RTA) is a leading cause of all trauma admissions in hospitals worldwide. Road traffic injuries cause considerable economic losses to victims, their families, and to nations as a whole. These losses arise from the cost of treatment (including rehabilitation and incident investigation) as well as reduced/lost productivity (e.g. in wages) for those killed or disabled by their injuries and for family members who need to take time off work (or school) to care for the injured. Road traffic fatality in the Kingdom of Saudi Arabia (KSA) is the highest, accounts for 4.7% of all mortalities. Road injuries also are reported to be the most serious in this country, with an accident to injury ratio of 8:6. In this study, we try to focus on some causes of the accidents in KSA, so we can implement the prevention plan.

Vehicle Detection and Tracking in Complex Traffic Circumstances with Roadside LiDAR

2019 ◽  
Vol 2673 (9) ◽  
pp. 62-71 ◽  
Author(s):  
Zhenyao Zhang ◽  
Jianying Zheng ◽  
Hao Xu ◽  
Xiang Wang
Keyword(s):  
High Resolution ◽  
Traffic Safety ◽  
Traffic Accidents ◽  
Vehicle Detection ◽  
Traffic Data ◽  
The Road ◽  
Detection And Tracking ◽  
Area Of Interest ◽  
Vehicle Detection And Tracking ◽  
On The Road

The problem of traffic safety has become increasingly prominent owing to the increase in the number of cars. Traffic accidents often occur in an instant, which makes it necessary to obtain traffic data with high resolution. High-resolution micro traffic data (HRMTD) indicates that the spatial resolution reaches the centimeter level and that the temporal resolution reaches the millisecond level. The position, direction, speed, and acceleration of objects on the road can be extracted with HRMTD. In this paper, a LiDAR sensor was installed at the roadside for data collection. An adjacent-frame fusion method for vehicle detection and tracking in complex traffic circumstances is presented. Compared with the previous research, objects can be detected and tracked without object model extraction or a bounding box description. In addition, problems caused by occlusion can be improved using adjacent frames fusion in the vehicle detection and tracking algorithms in this paper. The data processing procedure are as follows: selection of area of interest, ground point removal, vehicle clustering, and vehicle tracking. The algorithm has been tested at different sites (in Reno and Suzhou), and the results demonstrate that the algorithm can perform well in both simple and complex application scenarios.

scholarly journals Assessing Significant Factors Affecting Risky Riding Behaviors of Motorcyclists

2020 ◽  
Vol 10 (18) ◽  
pp. 6608
Author(s):  
Wins Cott Goh ◽  
Lee Vien Leong ◽  
Richard Jun Xian Cheah
Keyword(s):  
Positive Affect ◽  
Latent Variables ◽  
Traffic Accidents ◽  
Negative Relationship ◽  
Positive Outcome ◽  
Factors Affecting ◽  
The Road ◽  
Maximum Variance ◽  
Hypothesis Model ◽  
On The Road

This study was conducted in Malaysia, where motorcycle traffic accidents represent a high percentage of fatality among overall traffic accidents. Studies have shown that risk perception and positive outcome of risky riding behavior have a significant impact on a rider’s decision making. Therefore, this study is targeted at further understanding of Malaysian motorcyclists within the locality of their home country. A questionnaire survey was conducted to gather motorcycle rider’s information, together with their perception of the three factors mentioned above. A reliability test of the findings was analyzed using Cronbach’s Alpha, while a PCA analysis was conducted to determine the linear combinations that have maximum variance. Subsequently, a statistical model was constructed based on the latent variables’ relations, the relation between the latent variables and observed variables, and also the hypothesis model. The model confirms that the positive affect of the risky behavior has a significant positive relationship with motorcyclists’ risk behavior (estimate coefficient = 1.016). Findings in the model also show that older motorcyclists are less likely to take part in risky riding behavior while riding on the road, with an estimate coefficient of −0.037 and a negative relationship with positive affect (estimate coefficient = −0.032).

scholarly journals Impact 0f Prosecution Against Infringement Ticketing with Numbers Traffic Accidents in The Jurisdiction of Police Resort Semarang

2019 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Rudi Hendri Basuki ◽  
Umar Ma�ruf
Keyword(s):  
Government Regulation ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Traffic Enforcement ◽  
Accident Rate ◽  
The Road ◽  
Vehicle Inspection ◽  
Traffic Violations ◽  
On The Road ◽  
The Impact

This study aims to determine how is the implementation of the action by infringing traffic by a speeding ticket in the jurisdiction of Police in Semarang; How can the impact of infringing on a traffic enforcement with a ticket to the number of traffic accidents in the jurisdiction of Police in Semarang; and What constraints in action by infringing traffic by a speeding ticket in the jurisdiction of Semarang Police and how the solutions to overcome them.The method used by the author in this study is juridical empirical or sociological jurisdiction. Specifications of research used is descriptive analyticalBased on research conducted can be concluded that 1) Implementation of Traffic Violations Enforcement accordance with Government Regulation on Infringement Ticketing Act No. 80 Of 2012 on Procedures for� Vehicle Inspection and Enforcement Violations On the Road Traffic and Transportation Article 3, which reads� Vehicle Inspection; 2) The results in January to September 2018 is known that the impact of a speeding ticket to a very significant definitely one transport accident means the higher the number the lower the accident rate speeding ticket, speeding ticket conversely the lower the number the higher the number of accidents; and 3) Constraints in the prosecution of traffic violations by a speeding ticket in the jurisdiction of Semarang Police isThe lack of legal awareness in the society, lack of ability by the Police Authority problematic legislation, the lack of infrastructure to supportKeywords: Impact; Infringement; Traffic; Infringement Ticketing; Accident.

scholarly journals Overview of approaches to driver fatigue recognition and existing technical solutions

2020 ◽  
Vol 1 (3) ◽  
pp. 48-58
Author(s):  
Ya.D. Saprykin ◽  
◽  
V.I. Ryazantsev ◽  
A.A. Smirnov ◽  
◽  
...  
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
Physiological State ◽  
Steering Wheel ◽  
Driver Fatigue ◽  
The Road ◽  
Advantages And Disadvantages ◽  
Falling Asleep ◽  
On The Road ◽  
Technical Solutions

The article analyzes the existing methods for determining the driver's condition. Driving in a state of fatigue, according to various statistics, is the cause of a large number of road traffic accidents (RTA). The percentage of accidents in Russia associated with the driver falling asleep while driving in 2018 is about 20%, in the USA the number of accidents for the same reason reaches 100,000 per year. The aim of the work is to review existing approaches to recognizing driver fatigue and existing technical solutions in this area. The article discusses such approaches as fatigue recognition based on the physiological state of the driver, recognition based on the driver's behavior, namely his speech and visual signs while driving, fatigue determination based on the nature of the vehicle's movement on the road and based on the driver's actions on the controls, the approaches based on the subjective assessment of the driver's condition. The advantages and disadvantages of each of the approaches were analyzed. The paper also provides an overview of existing fatigue recognition systems from various manufacturers that are currently used on vehicles and are designed to warn the driver of impending fatigue. It was revealed that in modern conditions of road transport operation, the most optimal approaches to fatigue recognition are based on an assessment of the driver's impact on the steering wheel, visual signs of driver fatigue and the nature of the vehicle's movement on the road, therefore, it is proposed to further focus on these methods.

scholarly journals Gambaran Korban Meninggal Dunia dengan Cedera Kepala pada Kecelakaan Lalu Lintas di Bagian Forensik RSUP dr M Djamil Padang Tahun 2018-2019

2021 ◽  
Vol 2 (1) ◽  
pp. 178-184
Author(s):  
Muhammad Imam Arrasyid ◽  
Rika Susanti ◽  
Roza Mulyana
Keyword(s):  
Head Injury ◽  
Traffic Accidents ◽  
Sampling Technique ◽  
Head Region ◽  
The Road ◽  
Road Users ◽  
Property Loss ◽  
On The Road ◽  
The City

Background. A traffic accident is an incident on the road which accidentally involves a vehicle with or without other road users which results in human casualties and/or property loss. The most common injury that occurs during traffic accidents is head injury. Head injury due to traffic accidents is a major cause of disability and mortality in developing countries.Objective. To analyze the overview of victim who died with head injury in traffic accidents at the forensic department of DR. M. Djamil Padang 2018-2019.Methods. This type of research is retrospective descriptive. Sampling was carried out by total sampling technique in the forensic department of RSUP Dr. M. Djamil Padang from March 2020 - September 2020.Results. The results showed that 150 victims who died with head injury in traffic accidents. The conclusion of this study, most of the age is 15-29 years and the incidence was higher in males. The most common injury patterns are abrasions.The head region most affected is the frontalis region. The most time for accidents is at 12.01-18.00 WIB and the most accident days are on Sundays. Most of the accident locations were outside the city of Padang, most types of vehicles were motorbikes, the role of the most victims were motorists and the most types of accidents were being hit by other vehicles.Conclusion. Most of the age is 15-29 years and the incidence was higher in males. The head region most affected is the frontalis region. Most of the accident locations were outside the city of Padang, most types of vehicles were motorbikes, the role of the most victims were motorists and the most types of accidents were being hit by other vehicles

An epidemiological study on the road traffic accidents from hills of north India

2014 ◽  
Vol 2 (2) ◽  
pp. 71
Author(s):  
SunilKumar Raina ◽  
BP Gupta ◽  
Narinder Mahajan ◽  
Ashok Bhardwaj ◽  
Anmol Gupta
Keyword(s):  
Epidemiological Study ◽  
Traffic Accidents ◽  
Road Traffic ◽  
North India ◽  
Road Traffic Accidents ◽  
The Road ◽  
On The Road

Study on the Highway Speed Limit at the Days of Snow and Ice

2012 ◽  
Vol 226-228 ◽  
pp. 2362-2365
Author(s):  
Jun De Liu ◽  
Tian Tian Peng ◽  
Jing Zhuang ◽  
Ya Juan Deng
Keyword(s):  
Traffic Safety ◽  
Traffic Accidents ◽  
Speed Limit ◽  
Practical Application ◽  
Highway Traffic ◽  
The Road ◽  
Ice Conditions ◽  
On The Road ◽  
Rate Limiting ◽  
Snow And Ice

In order to prevent traffic accidents caused by bad speed snow day weather and achieve the purpose of protection of highway traffic safety. Through the analysis of ice conditions, we identified of the rate-limiting model in the snow, snow, snow icing conditions and curve sections, we applied to the model and the calculation of mathematical solution and come to the conclusion of the speed limit which is recommended values at the days of snow and ice disaster conditions. In the practical application, it is convenient to get the speed limit under the necessary conditions through look-up the table of this article in order to ensure the safety of traffic on the road.

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