scholarly journals Analyses of Aggressiveness, Impulsiveness, and Demographics of the Drivers in Sulaimaniyah City Using Questionnaire Forms

2020 ◽  
Vol 7 (3) ◽  
pp. 241-254
Author(s):  
Hardy Karim ◽  
Keyword(s):  
Personality Traits ◽  
Traffic Safety ◽  
Traffic Accidents ◽  
Driving Behavior ◽  
Potential Contribution ◽  
Moderate Correlation ◽  
Aggressive Driving ◽  
Male And Female ◽  
Gender And Age ◽  
Measuring Scale

In order to increase traffic safety on our roads, certain forms of behavior and personality traits of passenger car drivers were studied. As an attempt to understand the potential contribution of drivers’ impulsiveness and aggressiveness in traffic accidents in Sulaimaniyah City, this study was conducted. The correlation between drivers’ impulsiveness and aggressiveness were also explored. Participants, who filled Barratt Impulsiveness Scale (BIS-11) and Aggressive Driving Behavior Questionnaire (ADBQ), were 244 drivers. The male drivers who answered the questionnaires were 143, while female drivers were 101. The results of the statistical analyses showed that male drivers are driving more aggressively than female drivers; as a result, male drivers faced higher numbers of traffic accidents than female drivers. There were no significant differences between male and female drivers regarding drivers’ impulsivity. Speeding as a measuring scale of the aggressive driving is significantly correlated with second-order impulsiveness subscales. The attentional and motor impulsiveness subscales are more correlated with the total score of the driving aggressiveness than non-planning subscale. There was moderate correlation between the impulsiveness total score and the overall aggressiveness score. The impulsiveness of the drivers was negatively correlated with the drivers’ ages and positively correlated with number of crashes; while the driving aggressiveness was significantly correlated with number of crashes and negatively with gender and age of the drivers. The traffic police in Sulaimaniyah City can benefit from the results of this paper during permitting driving license and enforcement processes.

Gender Differences and Aggressive Driving Behavior: A Factor Analytic Study

2007 ◽  
Vol 51 (18) ◽  
pp. 1283-1286 ◽  
Author(s):  
Mustapha Mouloua ◽  
J. Christopher Brill ◽  
Edwin Shirkey
Keyword(s):  
Traffic Safety ◽  
Traffic Accidents ◽  
Driving Behavior ◽  
Aggressive Driving ◽  
Highway Traffic ◽  
National Highway Traffic Safety ◽  
The Road ◽  
Factor Analytic ◽  
Components Analysis ◽  
On The Road

Aggressive driving behavior can be manifested in a wide variety of unsafe driving practices such as tailgating, honking, obscene and rude gestures, flashing high beams at slower traffic, and speeding. According the National Highway Traffic Safety Administration 2000 report, aggressive driving was a major cause of traffic accidents and injury. The present study was designed to systematically examine 5 previously developed scales related to aggressive driving behavior using a factor analytic approach. A sample of 253 students were administered these five questionnaires and the data were coded and statistically analyzed using a principal components analysis with Varimax rotation on the 81 items of the five combined scales. Nineteen components accounting for 67.4% of the variance were retained. Component scores were computed for the 19 components and then correlated with gender. Three significant ( p < .05) positive r's were found between gender; factors 11 (bright lights action), 12 (delaying action), and 19 (driving drunk). Males in the sample reported performing these actions more than females. There was one negative r between gender and factor 4 (considerate thoughts), suggesting that females reported more pleasant thoughts than males when angered or annoyed on the road.

Motives for, and Attitudes About, Driving-Related Anger and Aggressive Driving

2011 ◽  
Vol 39 (6) ◽  
pp. 755-764 ◽  
Author(s):  
Dragan Jovanovic ◽  
Predrag Stanojević ◽  
Dragana Stanojević
Keyword(s):  
Personality Traits ◽  
Traffic Accidents ◽  
Driving Behavior ◽  
Aggressive Driving ◽  
Driving Anger

Aggressive driving behavior is a global phenomenon that is occurring with increasing frequency. This form of on-road behavior increases risk and, consequently, the number of traffic accidents with human victims. The main aim in this study was to determine the relationships between motivation and attitudes, and between driving anger and aggression. The sample consisted of 137 men and 123 women. Our results showed that the prediction of driving anger was not highly dependent on motives and attitudes, and driving anger was likely due to other determinants (e.g., personality traits, on-road frustrations). However, motives and attitudes were shown to be very important in predicting aggressive driving.

scholarly journals Research on Risky Driving Behavior of Novice Drivers

2019 ◽  
Vol 11 (20) ◽  
pp. 5556
Author(s):  
Longhai Yang ◽  
Xiqiao Zhang ◽  
Xiaoyan Zhu ◽  
Yule Luo ◽  
Yi Luo
Keyword(s):  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Traffic Safety ◽  
Traffic Accidents ◽  
Risky Behaviors ◽  
Driving Behavior ◽  
Risky Driving ◽  
Novice Drivers ◽  
Driving Skills ◽  
Planned Behavior Theory

Novice drivers have become the main group responsible for traffic accidents because of their lack of experience and relatively weak driving skills. Therefore, it is of great value and significance to study the related problems of the risky driving behavior of novice drivers. In this paper, we analyzed and quantified key factors leading to risky driving behavior of novice drivers on the basis of the planned behavior theory and the protection motivation theory. We integrated the theory of planned behavior (TPB) and the theory of planned behavior (PMT) to extensively discuss the formation mechanism of the dangerous driving behavior of novice drivers. The theoretical analysis showed that novice drivers engage in three main risky behaviors: easily changing their attitudes, overestimating their driving skills, and underestimating illegal driving. On the basis of the aforementioned results, we then proposed some specific suggestions such as traffic safety education and training, social supervision, and law construction for novice drivers to reduce their risky behavior.

scholarly journals Driver behaviour and traffic accident involvement among professional heavy semi-trailer truck drivers in China

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0260217
Author(s):  
Wanli Han ◽  
Jianyou Zhao ◽  
Ying Chang
Keyword(s):  
Traffic Safety ◽  
Traffic Accidents ◽  
Principal Component ◽  
Binary Logistic Regression ◽  
Driving Behavior ◽  
Truck Drivers ◽  
Driver Behaviour ◽  
Professional Drivers ◽  
Accident Prediction ◽  
Driving Time

The purpose of this study was to develop a driving behavior scale for professional drivers of heavy semi-trailer trucks in China, and study the causes of such driving behavior and its impact on traffic safety operation. Data was processed by IBM SPSS 25. In addition to principal component analysis, Promax rotation, Bartlett’s test, Cronbach’s alpha, correlation analysis and binary logistic regression were examined. A DBQ with 4 dimensions and 20 items, and a PDBQ with 1 dimension and 6 items were developed for professional drivers of heavy semi-trailer trucks in China. The KMO coefficients of PDBQ and DBQ were 0.822 and 0.852, respectively, and the significant level of Bartlett’s popularity test was p < 0.0001. The accident prediction model showed that the variables related to traffic accidents were negligence/lapses and driving time of heavy semi-trailer truck drivers. 1–5 a.m. was found to be the most dangerous period for drivers of medium and heavy semi-trailer trucks, during which accidents were most likely to happen. As negligence/lapses increased by one unit, the probability of traffic accidents increased by 2.293 times.

scholarly journals Analisis Perilaku Pengemudi Truk Serta Kontribusinya Pada Kecelakaan

2021 ◽  
Vol 23 (1) ◽  
pp. 79-87
Author(s):  
Budi Dwi Hartanto
Keyword(s):  
Path Analysis ◽  
Direct Effect ◽  
Human Error ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Driving Behavior ◽  
Truck Drivers ◽  
Accident Risk ◽  
Aggressive Driving ◽  
The Relationship

ABSTRAKIn Indonesia, the death rate due to road traffic accidents is still quite high, with some of these accidents involving trucks. Several studies stated that the main cause of traffic accidents is human error. Therefore, research related to the behavior of truck drivers and their contribution to accidents is necessary.There are four variables used in this study, namely green driver (X1), multitasking driving (X2), aggressive driving (Y), and accidents (Z). Path analysis is used to describe the relationship and influence between variables.The results of the analysis show that the green driver variable and the multitasking driving variable simultaneously have a direct effect on aggressive driving behavior, but the two variables have no direct effect on the level of accident risk. Green drivers and multitasking driving have an indirect effect on the level of accident risk through the level of aggressive driving behavior which functions as an intervening variable.ABSTRAKDi Indonesia tingkat kematian yang diakibatkan  kecelakaan lalu lintas jalan masih cukup tinggi, dimana sebagian dari kecelakaan tersebut melibatkan kendaraan angkutan barang (truk). Beberapa penelitian menyebutkan bahwa penyebab utama terjadinya kecelakaan lalu lintas adalah human error. Oleh sebab maka penelitian terkait dengan perilaku pengemudi truk serta kontribusinya pada kecelakaaan perlu untuk dilakukan.Terdapat empat variabel yang digunakan dalam penelitian ini yaitu variabel usia muda serta minim pengalaman (X1), mengemudi dalam kondisi multitasking (X2), mengemudi secara agresif (Y), dan potensi terjadinya kecelakaan (Z). Untuk menggambarkan hubungan dan pengaruh antar variabel digunakan analisis jalur (path analysis).Dari hasil analisis diketahui bahwa variabel usia muda serta minim pengalaman dan variabel mengemudi dalam kondisi multitasking secara simultan berpengaruh langsung terhadap perilaku mengemudi agresif, namun kedua variabel tidak berpengaruh langsung terhadap tingkat resiko kecelakaan. Usia muda serta minim pengalaman dan mengemudi dalam kondisi multitasking berpengaruh tidak langsung terhadap tingkat resiko kecelakaan melalui tingkat perilaku mengemudi agresif yang berfungsi sebagai variabel intervening

scholarly journals Decreasing Trends in Road Traffic Mortality in Poland: A Twenty-Year Analysis

2021 ◽  
Vol 18 (19) ◽  
pp. 10411
Author(s):  
Monika Burzyńska ◽  
Małgorzata Pikala
Keyword(s):  
Traffic Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Percentage Change ◽  
Annual Percentage Change ◽  
Mortality Trends ◽  
Road Traffic Safety ◽  
Road Users ◽  
Gender And Age ◽  
Related Mortality

The aim of the study was to assess mortality trends due to road traffic accidents in Poland between 1999 and 2018. The study material was a database including 7,582,319 death certificates of all inhabitants of Poland who died in the analyzed period (104,652 people died of transport accidents). Crude deaths rates (CDR), standardized death rates (SDR) and joinpoint models were used. Annual percentage change (APC) for each segment of broken lines and average annual percentage change (AAPC) for the whole study period were calculated. CDR decreased from 19.7 per 100,000 population in 1999 to 9.6 per 100,000 population in 2018; APC was −4.1% (p < 0.05) while SDR decreased from 20.9 to 10.9 per 100,000; APC was −4.1% (p < 0.05). Large differences in traffic accident-related mortality were observed between men and women. An analysis by gender and age shows that the decline in the number of deaths due to traffic accidents has been slowed down in the oldest age group, 65+, in both males and females. There is a need for in-depth analyses aimed at introducing effective preventive solutions in the field of road traffic safety in Poland. Legal regulations should particularly refer to the most endangered groups of road users.

Effects of Gesture-Based Interaction on Driving Behavior: A Driving Simulator Study Using the Projection-Based Vehicle-in-the-Loop

2020 ◽  
pp. 001872082094328
Author(s):  
Lisa Graichen ◽  
Matthias Graichen ◽  
Josef F. Krems
Keyword(s):  
Traffic Safety ◽  
Traffic Accidents ◽  
Driving Simulator ◽  
Negative Impact ◽  
Driving Behavior ◽  
Driving Performance ◽  
Driver Distraction ◽  
Safe Alternative ◽  
Visual Distraction ◽  
Performance Effects

Objective We observe the driving performance effects of gesture-based interaction (GBI) versus touch-based interaction (TBI) for in-vehicle information systems (IVISs). Background As a contributing factor to a number of traffic accidents, driver distraction is a significant problem for traffic safety. More specifically, visual distraction has a strong negative impact on driving performance and risk perception. Thus, the implementation of new interaction systems that use midair gestures to encourage glance-free interactions could reduce visual distraction among drivers. Methods In this experiment, participants drove a projection-based Vehicle-in-the-Loop. The projection-based technology combines a visual simulation with kinesthetic, vestibular, and auditory feedback from a car on a test track. While driving, participants used GBI or TBI to perform IVIS tasks. To investigate driving behavior related to critical driving situations and car-following maneuvers, vehicle data based upon longitudinal and lateral driving were collected. Results Participants reacted faster to critical driving situations when using GBI compared to TBI. For drivers using TBI, steering performance decreased and time headway to a preceding vehicle was higher. Conclusion Gestures provide a safe alternative to in-vehicle interactions. Moreover, GBI has fewer effects on driver distraction than TBI. Application Potential applications of this research include all in-vehicle interaction systems used by drivers.

scholarly journals DRIVER FEEDBACK MOBILE APP

2016 ◽  
Author(s):  
Francesc Soriguera Marti ◽  
Enric Miralles Miquel
Keyword(s):  
Road Safety ◽  
Traffic Accidents ◽  
Human Factor ◽  
Time Derivative ◽  
Risky Behaviors ◽  
Driving Behavior ◽  
Mobile App ◽  
Cumulative Probability ◽  
Aggressive Driving ◽  
Safe Driving

This paper faces the human factor in driving and its consequences for road safety. It presents the concepts behind the development of a smartphone app capable of evaluating drivers’ performance. The app provides feedback to the driver in terms of a grade (between 0 and 10) depending on the aggressiveness and risks taken while driving. These are computed from the cumulative probability distribution function of the jerks (i.e. the time derivative of acceleration), which are measured using the smartphones’ accelerometer. Different driving contexts (e.g. urban, freeway, congestion, etc.) are identified applying cluster analysis to the measurements, and treated independently. Using regression analysis, the aggressiveness indicator is related to the drivers' safety records and to the probability of having an accident, through the standard DBQ - Driving Behavior Questionnaire. Results from a very limited pilot test show a strong correlation between the 99th percentile of the jerk measurements and the DBQ results. A linear model is fitted. This allows quantifying the safe driving behavior only from smartphone measurements. Finally, this indicator is translated into a normalized grade and feedback to the driver. This feedback will challenge the driver to train and to improve his performance. The phone will be blocked while driving and will incorporate mechanisms to prevent bad practices, like competition in aggressive driving. The app is intended to contribute to the improvement of road safety, one of the major public health problems, by tackling the human factor which is the trigger of the vast majority of traffic accidents. Making explicit and quantifying risky behaviors is the first step towards a safer driving.DOI: http://dx.doi.org/10.4995/CIT2016.2016.4066

scholarly journals Identification of Contributing Factors for Driver’s Perceptual Bias of Aggressive Driving in China

2021 ◽  
Vol 13 (2) ◽  
pp. 766
Author(s):  
Yongfeng Ma ◽  
Xin Gu ◽  
Ya’nan Yu ◽  
Aemal J. Khattakc ◽  
Shuyan Chen ◽  
...  
Keyword(s):  
Traffic Accidents ◽  
Motor Vehicle ◽  
Anger Expression ◽  
Gaussian Mixture ◽  
Driving Behavior ◽  
Perceptual Bias ◽  
Impact Factors ◽  
Aggressive Driving ◽  
Contributing Factors ◽  
Objective Indicator

Aggressive driving is common across the world. While most aggressive driving is conscious, some aggressive driving behavior may be unconscious on part of motor vehicle drivers. Perceptual bias of aggressive driving behavior is one of the main causes of traffic accidents. This paper focuses on identifying impact factors related to aggressive driving perceptual bias. Questionnaire data from 690 drivers, collected from a drivers’ retraining course administered by the Traffic Management Bureau in Nanjing, China, were used to collect drivers’ socioeconomic characteristics, personality traits, and external environment data. Actual penalty points were considered as an objective indicator and Gaussian mixture model (GMM) was used to cluster an objective indicator into different levels. The driving anger expression (DAX) was used to measure drivers’ self-assessment of aggressive driving behavior and then to identify perceptual biases. Then a binary logistic model was estimated to explore the influence of different factors on drivers’ perceptual bias of aggressive driving behavior. Results showed that bus drivers were less likely to have perceptual bias of aggressive driving behavior. Truck drivers, drivers with an extraversion characteristic, and drivers who have dissatisfaction with road infrastructure and actual work were likely to have a perceptual bias. The findings are potentially beneficial for proposing targeted countermeasures to identify dangerous drivers and improve drivers’ safety awareness.

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