Are You an Aggressive Driver?

2013 ◽  
Keyword(s):  
Aggressive Driver

scholarly journals Analysis of Aggressive Driver Behaviour using Data Fusion

2016 ◽  
Author(s):  
Juan Carmona ◽  
Fernando García ◽  
Miguel Ángel de Miguel ◽  
Arturo de la Escalera ◽  
José María Armingol
Keyword(s):  
Data Fusion ◽  
Driver Behaviour ◽  
Using Data ◽  
Aggressive Driver

The effect of aggressive driver behaviour, violation and error on vehicle crashes involvement in Jordan

2019 ◽  
Vol 25 (3) ◽  
pp. 276-283
Author(s):  
Abdulbari Bener ◽  
Khair Jadaan ◽  
David Crundall ◽  
Alessandro Calvi
Keyword(s):  
Vehicle Crashes ◽  
Driver Behaviour ◽  
Aggressive Driver

A mechanism to describe the formation and propagation of stop-and-go waves in congested freeway traffic

2010 ◽  
Vol 368 (1928) ◽  
pp. 4519-4541 ◽  
Author(s):  
Jorge A. Laval ◽  
Ludovic Leclercq
Keyword(s):  
Trajectory Data ◽  
Freeway Traffic ◽  
Stop And Go ◽  
Simulation Results ◽  
Vehicle Trajectory ◽  
Aggressive Driver

This paper introduces a parsimonious theory for congested freeway traffic that describes the spontaneous appearance of oscillations and their ensuing transformation into stop-and-go waves. Based upon the analysis of detailed vehicle-trajectory data, we conclude that timid and aggressive driver behaviours are the cause for this transformation. We find that stop-and-go waves arise independently of the details of these behaviours. Analytical and simulation results are presented.

A two-lane cellular automaton traffic flow model with the influence of driver, vehicle and road

2015 ◽  
Vol 27 (02) ◽  
pp. 1650018 ◽  
Author(s):  
Han-Tao Zhao ◽  
Cen Nie ◽  
Jing-Ru Li ◽  
Yu-Ao Wei
Keyword(s):  
Traffic Flow ◽  
Flow Model ◽  
Psychological Characteristics ◽  
Low Density ◽  
Mixed Traffic ◽  
Time Diagram ◽  
Cellular Automata Model ◽  
Brake Light ◽  
Driving Model ◽  
Aggressive Driver

On the basis of one-lane comfortable driving model, this paper established a two-lane traffic cellular automata model, which improves the slow randomization effected by brake light. Considering the driver psychological characteristics and mixed traffic, we studied the lateral influence between vehicles on adjacent lanes. Through computer simulation, the space-time diagram and the fundamental figure under different conditions are obtained. The study found that aggressive driver makes a slight congestion in low-density traffic and improves the capacity of high-density traffic, when the density exceeds 20[Formula: see text]pcu/km the more aggressive drivers the greater the flow, when the density below 40[Formula: see text]pcu/km driver character makes an effect, the more cautious driver, the lower the flow. The ratio of big cars has the same effect as the ratio of aggressive drivers. Brake lights have the greatest impact on traffic flow and when the density exceeds 10[Formula: see text]pcu/km the traffic flow fluctuates. Under periodic boundary conditions, the disturbance of road length on traffic is minimal. The lateral influence only play a limited role in the medium-density conditions, and only affect the average speed of traffic at low density.

Bicycle Backlash: Qualitative Examination of Aggressive Driver–Bicyclist Interactions

2017 ◽  
Vol 2662 (1) ◽  
pp. 22-30 ◽  
Author(s):  
Daniel P. Piatkowski ◽  
Wesley Marshall ◽  
Aaron S. Johnson
Keyword(s):  
Online Survey ◽  
Initial Step ◽  
Sample Population ◽  
Aggressive Driving ◽  
Social Good ◽  
The Road ◽  
Altruistic Punishment ◽  
On The Road ◽  
Survey Responses ◽  
Aggressive Driver

This research investigated aggressive driver–bicyclist interactions. Individuals who identified themselves as both a driver and a bicyclist were asked about their behavior when they encountered a bicyclist on the road while they were driving a car. Open-ended survey responses were analyzed from individuals who reported a propensity for driving too closely to a bicyclist who they felt was not staying to the side of the road. The data were drawn from a snowball-sampled, online survey specifically targeted to elicit responses about rare (i.e., deviant or illegal) behaviors. Little research exists on why individuals would choose to intimidate a bicyclist while they were driving. Applicable theories from sociology and behavioral economics (i.e., theories of crime as social control and as altruistic punishment) were drawn on in this study to help understand why individuals might do so. This paper argues that aggressive driving behavior directed at bicyclists in the sample population could be characterized with two general themes: “teaching them a lesson” and “they had it coming.” In both cases, individuals deflected the blame for their aggressive behavior away from themselves. Instead, they cast themselves as serving a social good by teaching bicyclists how they should behave or by punishing bicyclists for behaving in ways with which the drivers disagreed. The study reported here was an initial step in an effort to identify testable hypotheses through qualitative methods to explain such behaviors and eventually to mitigate them. The intent is to inform actionable directions to address dangerous on-street interactions that act as barriers to a safe transportation system that accommodates all users.

scholarly journals THE PROFILE OF THE ROMANIAN AGGRESSIVE DRIVER

2021 ◽  
Vol 3 (5) ◽  
pp. 81-95
Author(s):  
Claudia VLAICU ◽  
◽  
Felicia HAIDU
Keyword(s):  
Marital Status ◽  
Behavioral Interventions ◽  
Anger Expression ◽  
Demographic Variables ◽  
Real Problem ◽  
Behaviour Therapy ◽  
Risky Driving ◽  
Dangerous Driving ◽  
Cognitive Behaviour ◽  
Aggressive Driver

Various studies have documented that aggressive driving is indeed a real problem. In each country there are various aspects of dangerous driving of empirical and practical concern and there are also individual differences to be explored. The present study aims at profiling the Romanian aggressive driver and questioning whether there are differences according to demographic variables such as: gender, age, area of living, marital status, religion, socio-economic status and level of instruction. An educational purpose may be nevertheless included. If psychologist may be provided with the profile of psychological driver and the predisposition of some to risky drivind according to age, marital status, religion, area of living and other demographic variables, they may shorten the time spent for evaluation and recommend counseling sessions for anger management for those identified with risky driving behavior. Nevetheless, other sound measures of dangerous driving are needed to understand differences and commonalties between aggression, negative cognitive/emotional driving, and risky driving. The study presents the DDDI results that might help psychologist in evaluating some variables that are part of the profile of the aggressive driver in Romania; we used it as a psychometric screening tool to select individuals who are prone to dangerous driving styles and who could benefit from sketching a cognitive-behaviour therapy (CBT)-type therapeutic intervention, at least in Romania. The educational implication of this study are that such types of interventions as cognitive-behavioral interventions (e.g., relaxation, cognitive restructuring, and behavioral skill building) may be suggested after testing the drivers in order to reduce and maintain reductions of driving anger, aggressive anger expression, aggression, risky behavior, and general anger

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