A Hybrid Agent-Control System Approach to Analyze Various Driving Behaviors

2005 ◽  
Vol 49 (12) ◽  
pp. 1134-1137 ◽  
Author(s):  
Stacy Lovell ◽  
James Melhuish
Keyword(s):  
Control Systems ◽  
Highway Safety ◽  
Cognitive Agent ◽  
Aggressive Driving ◽  
Road Rage ◽  
Risky Driving ◽  
Agent Model ◽  
Driving Behaviors ◽  
Hybrid Agent ◽  
Implicit And Explicit

A large percentage of traffic problems occur due to risky or aggressive behavior by drivers (James, 2000). Aggressive driving, incidents of road rage, and following distance are some of the major concerns surrounding the issue, and are increasing in frequency and severity on America's roadways (Rathbone, 1999). An understanding of risky driving and its impact is required in order to help alleviate factors that contribute to these behaviors. Models of risky or aggressive behaviors of drivers allow us to study these effects and their impacts on highway safety, and can further help to identify levers (implicit and explicit) that influence these behaviors. This paper uses a cognitive agent model of human drivers as control systems to aid in the understanding of the effects of heterogeneous beliefs of risk, and the impacts of various driving behaviors on performance.

Drivers' Perceptions of Unsafe Driving Behaviors and Their Countermeasures: A Study in Saudi Arabia

2014 ◽  
Vol 70 (4) ◽  
Author(s):  
Tanweer Hasan ◽  
Ishtiaque Ahmed ◽  
Hamid O. Al-Bar
Keyword(s):  
Saudi Arabia ◽  
Police Officers ◽  
Time Pressure ◽  
Red Light ◽  
The United States ◽  
Aggressive Driving ◽  
Road Rage ◽  
Driving Behaviors ◽  
Wide Range

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.

The “Homogamy” of Road Rage Revisited

2008 ◽  
Vol 23 (6) ◽  
pp. 758-772 ◽  
Author(s):  
Lynne D. Roberts ◽  
David W. Indermaur
Keyword(s):  
Socioeconomic Status ◽  
Violent Crime ◽  
Low Socioeconomic Status ◽  
Demographic Characteristics ◽  
Aggressive Driving ◽  
Road Rage ◽  
Low Socioeconomic ◽  
Young Males ◽  
Driving Behaviors ◽  
History Of

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.

Perceived Self-Efficacy and Risky Driving Behaviors

2010 ◽  
Vol 69 (4) ◽  
pp. 233-238 ◽  
Author(s):  
Nolwenn Morisset ◽  
Florence Terrade ◽  
Alain Somat
Keyword(s):  
Self Efficacy ◽  
Risky Driving ◽  
Driving Behaviors ◽  
Conduite Automobile ◽  
Risky Driving Behaviors

Les recherches dans le domaine de la santé, et notamment en matière de conduite automobile, attestent que le jugement subjectif du risque (comparatif et absolu) et l’auto-efficacité perçue sont impliqués dans les comportements à risque. Cette étude avait pour objectif d’étudier l’influence de l’auto-efficacité perçue sur le jugement subjectif du risque, évalué au moyen d’une mesure indirecte, et de tester le rôle médiateur de ce facteur entre l’auto-efficacité perçue et les comportements auto-déclarés. Les participants, 90 hommes, lisaient deux scénarii décrivant les deux comportements les plus impliqués dans l’accidentologie: la vitesse et l’alcool au volant. Les résultats ne montrent pas de lien significatif entre l’auto-efficacité perçue et le score de jugement comparatif mais une relation significative avec les deux évaluations absolues du risque (autrui et soi). De plus, le jugement absolu du risque pour soi médiatise partiellement la relation entre auto-efficacité perçue et comportements auto-déclarés relatifs aux deux risques routiers étudiés.

Road accident proneness in Malaysia: A hypothesized model of driver’s demographic profiles, aggressive driving and risky driving

2021 ◽  
Author(s):  
Muhammad Asyraf Mohd Kassim ◽  
Suhaila Abdul Hanan ◽  
Muhammad Safizal Abdullah ◽  
Chan Pei Hong
Keyword(s):  
Road Accident ◽  
Aggressive Driving ◽  
Risky Driving ◽  
Demographic Profiles ◽  
Accident Proneness

scholarly journals Examining Risky Driving Behavior Among Older Drivers Using Self-Reported and Objective Data

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 465-465
Author(s):  
Jennifer Zakrajsek ◽  
Lisa Molnar ◽  
David Eby ◽  
David LeBlanc ◽  
Lidia Kostyniuk ◽  
...  
Keyword(s):  
Motor Vehicle ◽  
Seat Belt ◽  
Driving Behavior ◽  
Video Data ◽  
Older Drivers ◽  
Driving Frequency ◽  
Middle Aged ◽  
Risky Driving ◽  
Driving Behaviors ◽  
Study Results

Abstract Motor vehicle crashes represent a significant public health problem. Efforts to improve driving safety are multifaceted, focusing on vehicles, roadways, and drivers with risky driving behaviors playing integral roles in each area. As part of a study to create guidelines for developing risky driving countermeasures, 480 drivers (118 young/18-25, 183 middle-aged/35-55, 179 older/65 and older) completed online surveys measuring driving history, risky driving (frequency of engaging in distracted [using cell phone, texting, eating/drinking, grooming, reaching/interacting] and reckless/aggressive [speeding, tailgating, failing to yield right-of-way, maneuvering unsafely, rolling stops] driving behaviors), and psychosocial characteristics. A cluster analysis using frequency of the risky behaviors and seat belt use identified five risky behavior-clusters: 1) rarely/never distracted-rarely/never reckless/aggressive (n=392); 2) sometimes distracted-rarely/never reckless/aggressive (n=33); 3) sometimes distracted-sometimes reckless/aggressive (n=40); 4) often/always distracted-often/always reckless/aggressive (n=11); 5) no pattern (n=4). Older drivers were more likely in the first/lowest cluster (93.8% of older versus 84.2% of middle-aged and 59.3% of young drivers; p<.0001). Fifteen older drivers participated in a follow-up study in which their vehicles were equipped with a data acquisition system that collected objective driving and video data of all trips for three weeks. Analysis of video data from 145 older driver trips indicated that older drivers engaged in at least one distracted behavior in 115 (79.3%) trips. While preliminary, this suggests considerably more frequent engagement in distracted driving than self-reported and that older drivers should not be excluded from consideration when developing risky driving behavior countermeasures. Full study results and implications will be presented.

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