Introducing a multivariate model for predicting driving performance: The role of driving anger and personal characteristics

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Authors

Introduction Maladaptive driving is an important source of self-inflicted accidents and this driving style could include high speeds, speeding violations, and poor lateral control of the vehicle. The literature suggests that certain groups of drivers, such as novice drivers, males, highly motivated drivers, and those who frequently experience anger in traffic, tend to exhibit more maladaptive driving patterns compared to other drivers. Remarkably, no coherent framework is currently available to describe the relationships and distinct influences of these factors. Method We conducted two studies with the aim of creating a multivariate model that combines the aforementioned factors, describes their relationships, and predicts driving performance more precisely. The studies employed different techniques to elicit emotion and different tracks designed to explore the driving behaviors of participants in potentially anger-provoking situations. Study 1 induced emotions with short film clips. Study 2 confronted the participants with potentially anger-inducing traffic situations during the simulated drive. Results In both studies, participants who experienced high levels of anger drove faster and exhibited greater longitudinal and lateral acceleration. Furthermore, multiple linear regressions and path-models revealed that highly motivated male drivers displayed the same behavior independent of their emotional state. The results indicate that anger and specific risk characteristics lead to maladaptive changes in important driving parameters and that drivers with these specific risk factors are prone to experience more anger while driving, which further worsens their driving performance. Driver trainings and anger management courses will profit from these findings because they help to improve the validity of assessments of anger related driving behavior.

OriginalspracheEnglisch
ZeitschriftJournal of Safety Research
Jahrgang47
Seiten (von - bis)47-56
Anzahl der Seiten10
ISSN0022-4375
DOIs
PublikationsstatusErschienen - 2013

Zugehörige Projekte

  • Forschungsschwerpunkt Psychonik

    Projekt: Forschung

  • Entwicklung eines Trainings zur Gefahrenwahrnehmung im Straßenverkehr

    Projekt: Forschung

  • Programmentwicklung für den Aufbau eines Fahrsimulationszentrums

    Projekt: Transfer (FuE-Projekt)

DOI

Zuletzt angesehen

Publikationen

  1. Evaluating entity annotators using GERBIL
  2. Situated multiplying in primary school
  3. Grazing, exploring and networking for sustainability-oriented innovations in learning-action networks
  4. On robustness properties in permanent magnet machine control by using decoupling controller
  5. Integrating the underlying structure of stochasticity into community ecology
  6. Validation of an open source, remote web-based eye-tracking method (WebGazer) for research in early childhood
  7. Using Complexity Metrics to Assess Silent Reading Fluency
  8. Globally asymptotic output feedback tracking of robot manipulators with actuator constraints
  9. Mathematical relation between extended connectivity and eigenvector coefficients.
  10. NH4+ ad-/desorption in sequencing batch reactors
  11. Dynamically changing sequencing rules with reinforcement learning in a job shop system with stochastic influences
  12. Multilevel bridge governor by using model predictive control in wavelet packets for tracking trajectories
  13. Parking space management through deep learning – an approach for automated, low-cost and scalable real-time detection of parking space occupancy
  14. Should learners use their hands for learning? Results from an eye-tracking study
  15. Understanding the socio-technical aspects of low-code adoption for software development
  16. Introduction Mobile Digital Practices. Situating People, Things, and Data
  17. Visualization of the Plasma Frequency by means of a Particle Simulation using a Normalized Periodic Model
  18. On the Functional Controllability Using a Geometric Approach together with a Decoupled MPC for Motion Control in Robotino
  19. A Review of the Application of Machine Learning and Data Mining Approaches in Continuum Materials Mechanics
  20. Closed-form Solution for the Direct Kinematics Problem of the Planar 3-RPR Parallel Mechanism
  21. Exploration strategies, performance, and error consequences when learning a complex computer task
  22. How to support synchronous net-based learning discourses
  23. Modeling and numerical simulation of multiscale behavior in polycrystals via extended crystal plasticity
  24. Taking the pulse of Earth's tropical forests using networks of highly distributed plots
  25. Backstepping-based Input-Output Linearization of a Peltier Element for Ice Clamping using an Unscented Kalman Filter
  26. Kalman Filter for Predictive Maintenance and Anomaly Detection
  27. How, when and why do negotiators use reference points?
  28. A Switching Cascade Sliding PID-PID Controllers Combined with a Feedforward and an MPC for an Actuator in Camless Internal Combustion Engines
  29. A lyapunov approach in the derivative approximation using a dynamic system
  30. Using corpus-linguistic methods to track longitudinal development
  31. Hierarchical trait filtering at different spatial scales determines beetle assemblages in deadwood
  32. Dynamic Lot Size Optimization with Reinforcement Learning
  33. Intentionality