The relationships between traffic enforcement, personal norms and aggressive driving behaviors among normal e-bike riders and food delivery e-bike riders

Author(s):  
Hongming Dong ◽  
Shiquan Zhong ◽  
Shuxian Xu ◽  
Junfang Tian ◽  
Zhongxiang Feng
2014 ◽  
Vol 70 (4) ◽  
Author(s):  
Tanweer Hasan ◽  
Ishtiaque Ahmed ◽  
Hamid O. Al-Bar

There is an increased public concern about the role of aggressive driving and "road rage" in crashes and traffic fatalities. There is no general agreement as to what constitutes aggressive driving. Consequently, the objective of the study was to survey of the perceptions on the specific unsafe driving acts. Perceptions and beliefs of drivers about unsafe and aggressive driving actions and their countermeasures are presented in this paper. The study primarily looked at the wide range of driver attitudes about speeding and other forms of unsafe driving behavior. The study was conducted in Jeddah, the second largest city of Saudi Arabia by interviewing a sample of 300 drivers. The results indicated that the drivers, in general, prefer to drive at higher speeds and could be considered as more aggressive compared to the drivers in the United States. The most dangerous reported driving act was "drive thru red light", followed by "racing another driver". Only 23% of the drivers thought that it was dangerous to drive over 30 km of the legal speed limits. The most often seen unsafe driving action was "speeding (70%), followed by "driving too closely (57%), "failing to use turn signals (53%), "drive inattentively (50%)", and "running red lights (43%)". The main causes of unsafe driving behaviors were "being in a hurry/time pressure (66%)", "aggressive behavior of others (52%)", and "refusing traffic rules (51%)". The countermeasure that was viewed to be the most effective in reducing unsafe driving behaviors was assigning more traffic police officers (66%). The study revealed that, more than half the drivers believed that more frequent ticketing (60%), doubling or tripling fines (54%), and doubling the length of imprisonment (53%) would be effective in reducing unsafe driving behaviors.


2014 ◽  
Vol 72 ◽  
pp. 1-8 ◽  
Author(s):  
Paul B. Harris ◽  
John M. Houston ◽  
Jose A. Vazquez ◽  
Janan A. Smither ◽  
Amanda Harms ◽  
...  

2007 ◽  
Author(s):  
Erin N. Winrow ◽  
Andrew Noyes ◽  
Zelida Keo ◽  
Lisa Mori

2008 ◽  
Vol 23 (6) ◽  
pp. 758-772 ◽  
Author(s):  
Lynne D. Roberts ◽  
David W. Indermaur

The principle of homogamy, the tendency for victims and offenders to share behavioral and demographic characteristics, has been applied to various forms of violent crime. This article explores how this principle relates to types of “road rage” using a survey of 1,208 Australian drivers. Two-thirds of drivers who perpetrated violent forms of road rage also reported being victims of the same crime, providing support for the homogamy thesis. Perpetrators were predominantly young males with low socioeconomic status who lacked the ability to control their temper. Perpetrator-victims were more likely than other victims to have a history of driving violations and higher levels of general aggression and report more frequent aggressive driving behaviors. The implications for theories of violence are discussed.


PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0245320
Author(s):  
Adrian Remonda ◽  
Eduardo Veas ◽  
Granit Luzhnica

Motorsports have become an excellent playground for testing the limits of technology, machines, and human drivers. This paper presents a study that used a professional racing simulator to compare the behavior of human and autonomous drivers under an aggressive driving scenario. A professional simulator offers a close-to-real emulation of underlying physics and vehicle dynamics, as well as a wealth of clean telemetry data. In the first study, the participants’ task was to achieve the fastest lap while keeping the car on the track. We grouped the resulting laps according to the performance (lap-time), defining driving behaviors at various performance levels. An extensive analysis of vehicle control features obtained from telemetry data was performed with the goal of predicting the driving performance and informing an autonomous system. In the second part of the study, a state-of-the-art reinforcement learning (RL) algorithm was trained to control the brake, throttle and steering of the simulated racing car. We investigated how the features used to predict driving performance in humans can be used in autonomous driving. Our study investigates human driving patterns with the goal of finding traces that could improve the performance of RL approaches. Conversely, they can also be applied to training (professional) drivers to improve their racing line.


2011 ◽  
Author(s):  
Sarah Bell ◽  
Nathan Medeiros-Ward ◽  
David L. Strayer

Author(s):  
Enilda M. Velazquez ◽  
Mustapha Mouloua

The goal of the present study was to examine the role of personality and individual differences on aggressive driving. It was hypothesized that personality and individual differences would be significantly related to aggressive driving behavior. A sample of n = 252 participants from a southeastern university and surrounding community were required to complete a series of driving questionnaires; the ADBQ, DBQ, and CFQ-D; and a series of personality questionnaires; the IPIP-NEO-PIR and BFI. Our results indicated that personality factors and individual differences significantly predicted aggressive driving outcomes. These results provided a preliminary personality based characteristic profile of the aggressive driver. These results also support the use of trait anger and trait cooperation independently from the subscales they are derived from (Neuroticism and Agreeableness) to predict aggressive driving behaviors. Theoretical and practical implications are discussed.


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