Severity detection of traffic accidents at intersections based on vehicle motion analysis and multiphase linear regression

2010 ◽  
Author(s):  
O. Akoz ◽  
M.E. Karsligil
Keyword(s):  
Linear Regression ◽  
Motion Analysis ◽  
Traffic Accidents ◽  
Vehicle Motion

scholarly journals The association between meteorological variables and road traffic injuries: a study from Macao

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e6438 ◽  
Author(s):  
Chon-Fu Lio ◽  
Hou-Hon Cheong ◽  
Chon-Hou Un ◽  
Iek-Long Lo ◽  
Shin-Yi Tsai
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Meteorological Factors ◽  
Linear Regression Analysis ◽  
World Health ◽  
Road Traffic Accidents ◽  
Road Traffic Injuries ◽  
Windy Weather

Objective Correlation analysis and multiple linear regression analysis were conducted to estimate the influence of meteorological factors on road traffic injuries stratified by severity. Crash rate was defined as mean monthly road traffic accidents per 1,000 vectors. Design Ecological time-series study. Setting Macao traffic accident registry database between January 1st, 2001 and November 31st, 2016. Participants In total, 393,176 traffic accidents and 72,501 cases of road traffic injuries (RTIs) were enrolled; patients’ severity was divided into mild injury, required hospitalisation, and death. Exposure Variation of monthly meteorological factors. Main outcome measure Weather-condition-related road traffic accidents, injuries, and deaths. Results Windy weather significantly correlated with increased number of traffic accidents among all transport vectors (r = .375 to .637; p < 0.001). Multiple linear regression showed temperature (B = 0.704; p < 0.05) and humidity (B =  − 0.537; p < 0.001) were independent factors for mild injury. The role of windy weather was relatively more obvious among patients with severe injuries (B = 0.304; p < 0.001) or those who died (B = 0.015; p < 0.001). A longer duration of sunshine was also associated to RTI-related deaths (B = 0.015; p < 0.001). In total, 13.4% of RTIs were attributable to meteorological factors and may be preventable. Conclusion The World Health Organization stated that RTIs are a major but neglected public health challenge. This study demonstrates meteorological factors have significant effects on any degree of RTIs. The results may not be generalized to other climates or populations while the findings may have implications in both preventing injuries and to announce safety precautions regarding trauma and motor vehicle collisions to the general public by public agencies.

Face salient points and eyes tracking for robust drowsiness detection

Robotica ◽  
2011 ◽  
Vol 30 (5) ◽  
pp. 731-741 ◽  
Author(s):  
J. Jimenez-Pinto ◽  
M. Torres-Torriti
Keyword(s):  
Motion Analysis ◽  
Traffic Accidents ◽  
Near Infrared ◽  
Time Interval ◽  
Head Tracking ◽  
Facial Cues ◽  
Salient Points ◽  
Face Location ◽  
The Face ◽  
Wavelength Filter

SUMMARYMeasuring a driver's level of attention and drowsiness is fundamental to reducing the number of traffic accidents that often involve bus and truck drivers, who must work for long periods of time under monotonous road conditions. Determining a driver's state of alert in a noninvasive way can be achieved using computer vision techniques. However, two main difficulties must be solved in order to measure drowsiness in a robust way: first, detecting the driver's face location despite variations in pose or illumination; secondly, recognizing the driver's facial cues, such as blinks, yawns, and eyebrow rising. To overcome these challenges, our approach combines the well-known Viola–Jones face detector with the motion analysis of Shi–Tomasi salient features within the face. The location of the eyes and blinking is important to refine the tracking of the driver's head and compute the so-called PERCLOS, which is the percentage of time the eyes are closed over a given time interval. The latter cue is essential for noninvasive driver's alert state estimation as it has a high correlation with drowsiness. To further improve the location of the eyes under different conditions of illumination, the proposed method takes advantage of the high reflectivity of the retina to near infrared illumination employing a camera with an 850 nm wavelength filter. The paper shows that motion analysis of the salient points, in particular cluster mass centers and spatial distributions, yields better head tracking results compared to the state-of-the-art and provides measures of the driver's alert state.

scholarly journals Model Hubungan antara Angka Korban Kecelakaan Lalu Lintas dan Faktor Penyebab Kecelakaan pada Jalan Tol Purbaleunyi. (Hal. 124-132)

2019 ◽  
Vol 5 (2) ◽  
pp. 124
Author(s):  
Virlia Dian Fridayanti ◽  
Dwi Prasetyanto
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Traffic Accidents ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Correlation Test ◽  
Independent Variables ◽  
Linearity Test ◽  
The Relationship

ABSTRAKKecelakaan lalu lintas merupakan hasil dari kombinasi faktor-faktor penyebab  yang yang terdiri dari faktor manusia, kendaraan, jalan, dan lingkungan. Penelitian ini bertujuan untuk mengetahui variabel dominan dari beberapa faktor penyebab kecelakaan dengan memodelkan hubungan antara angka korban kecelakaan lalu lintas dengan variabel faktor penyebab kecelakaan di Jalan Tol Purbaleunyi pada tahun 2015–2017. Data yang digunakan pada penelitian ini berupa data sekunder yang terdiri dari data jumlah korban dan jumlah kecelakaan yang diakibatkan oleh faktor-faktor penyebab kecelakaan. Metode penelitian yang digunakan dalam penelitian ini adalah metode analisis regresi linear berganda dengan melakukan uji linearitas dan uji korelasi terlebih dahulu. Uji linearitas digunakan untuk memastikan apakah data yang akan dianalisis dapat menggunakan analisis regresi linear atau tidak, sedangkan uji korelasi digunakan untuk menentukan hubungan antara variabel baik antara sesama variabel bebas maupun antara variabel peubah bebas dengan variabel peubah tidak bebas. Berdasarkan hasil penelitian yang dilakukan pada tahun 2015–2017, variabel utama faktor kecelakaan diakibatkan oleh faktor manusia dan faktor kendaraan yaitu variabel mengantuk ( ) dan rem blong ( ).Kata kunci: Kecelakaan lalu lintas, faktor penyebab kecelakaan lalu lintas, regresi linear berganda. ABSTRACTTraffic accidents are the result of a combination of factors causes which consists of the human factor, vehicle, road, and environment. This study aims to determine the majority of the accidents variable of several factors that cause accidents by modeling the relationship between the numbers of traffic accident victims with variable factors causing the accident on Highway Purbaleunyi in 2015–2017. The data used in this study of secondary data consists of data on the number of victims and the number of accidents caused by factors that cause accidents. The method used in this research is multiple linear regression analysis to test the linearity and correlation test beforehand. Linearity test used to determine whether the data will be analyzed using linear regression analysis or not, whereas the correlation test was used to determine the relationship between both variables among the independent variables and the independent variables with the variable variable variable is not free. Based on the results of research conducted in 2015–2017, the main variable of the accident factor is caused by human factors and vehicle factors, which are variable drowsiness ( ) and brake failure ( ).Keywords: Traffic accidents, the causes of traffic accidents, multiple linear regression.

scholarly journals Study on Vehicle Motion Analysis and Control for Skid Steering UGVs with Articulating Arms

2011 ◽  
Vol 14 (5) ◽  
pp. 747-752 ◽  
Author(s):  
Sin-Cheon Kang ◽  
Jin-Wook Huh ◽  
Sang-Hoon Lee ◽  
Tae-Young Jee
Keyword(s):  
Motion Analysis ◽  
Vehicle Motion ◽  
Skid Steering ◽  
And Control

scholarly journals INFLUENCE OF EXPLOITATION CONDITIONS ON ANTI-SKID PROPERTIES OF TYRES

Transport ◽  
2019 ◽  
Vol 34 (4) ◽  
pp. 415-424
Author(s):  
Janusz Pokorski ◽  
Hubert Sar ◽  
Andrzej Reński
Keyword(s):  
Traffic Accidents ◽  
Wheel Slip ◽  
Road Engineering ◽  
Slip Ratio ◽  
Adhesion Properties ◽  
Adhesion Coefficient ◽  
Active Safety Systems ◽  
Vehicle Motion ◽  
Safety Systems ◽  
Peak Value

Tyre-to-road adhesion plays an important role when taking into account transmission of forces between tyres and road surface. It consequently influences vehicle safety. Moreover, it plays a significant role for modelling vehicle motion, which is often applied in the development of automotive active safety systems and in traffic accidents reconstruction. Furthermore, tyre-to-road adhesion properties are dependent on many factors. One of the factors is the type of tyre – summer or winter. This is the reason why it is justified to study the anti-slip properties of summer and winter tyres. This paper shows the method of measuring tyre-to-road adhesion coefficient. It is based on a skid resistance tester SRT-4 that consists of a special dynamometer trailer, towing vehicle and test-measuring equipment. It was designed to be applied in civil/road engineering and further developed. As a result, the SRT-4 system automatically obtains adhesion characteristics, such as the graph of tyre-to-road adhesion coefficient as a function of wheel slip ratio and velocity characteristics of peak adhesion coefficient. Results of the study present the above mentioned characteristics for different types of tyres (summer, winter) in different exploitation conditions. Differences between presented characteristics caused by tyre type and conditions of exploitation are shown. For example, for winter tyres we noticed that the peak value of adhesion coefficient was attained for higher values of slip ratio as compared with summer tyres.

scholarly journals Analysis of the loss of vehicle motion stability in the conditions of steering control disturbance

2019 ◽  
Vol 254 ◽  
pp. 04001
Author(s):  
Marian Dudziak ◽  
Andrzej Lewandowski ◽  
Michał Śledziński
Keyword(s):  
Traffic Accidents ◽  
Steering System ◽  
Simulation Software ◽  
Steering Wheel ◽  
Motion Path ◽  
Steering Control ◽  
Traffic Incidents ◽  
Motion Stability ◽  
Wheel Turning ◽  
Vehicle Motion

Disturbances in the vehicle motion may be caused by different factors and in many cases are the reason for dangerous traffic incidents. Disturbances within the human-vehicle system are particularly hazardous. An innovative method was designed for analyzing and simulating the process of loss of vehicle motion stability after interference in the steering system, e.g. by acting on the steering wheel by the passenger. The subject of the study is the theoretical and experimental analysis of the vehicle motion path kinematics together with the duration of the disturbance, driver’s reaction time and steering wheel turning angles. PC-Crash simulation software was employed for the purpose of studying the disturbance characteristics and their influence on the loss of vehicle motion stability. It is recognized that the studied issues are as yet poorly understood, the presented results expand our knowledge base in this area and can be employed for the purpose of analysis of actual traffic accidents.

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