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Project Overview Conclusions (Work in Progress ...
A New Model for Human Behavioural Adaptation in Distracted Driving Oscar Oviedo-Trespalacios (Ph.D. candidate), Md. Mazharul Haque, Mark King & Simon Washington
Project Overview Larger Headways
• Mobile phone tasks impair driving behaviour. • While engaging in a dual task, drivers are able to prioritize the driving task over use of the mobile phone. • Behavioural adaptation theory, in the context of mobile phone usage, assumes a broader view of behavioural changes ranging from a reduced to increased safety effect. So, do drivers adapt their behaviour? Or are drivers compensating for risk? And does it have safety implications?
Baseline + Distraction
Slower Speed
Common Impairments Due to Distraction
Ba
sel ine Dis
tr a
ctio n
Methodology Phase
Aim
Methods
Phase 1
Model definition and gap analysis using human-machine systems
Literature Review
Phase 2
Behavioural Adaptation Theory testing
Simulator Experiment No. 1
Phase 3
Phase 4
Behavioural Adaptation Model refinement New behavioural with Risk adaptation model Homeostasis and testing Task-Capability Interface Theory Cross-sectional study
Simulator Experiment No. 2
(i) Cluster analysis (i) Seemingly and Factorial Unrelated analysis Regression Equations Phase 1 (ii) Generalized (SURE) Systematic ordered probit model • Mobile phone distracted driving was modelled as a Analysis and review (ii) Hierarchical (iii) Mixed coefficients To be defined and regression trees Evaluation human-machine system. Ordered Probit model meta-analysis (iii) Generalized linear with panel data Human-Machine mixed model repeated (iv) Structural measures System Equation Modelling analysis (GLMMRM) (SEM)
Mobile Phone Distracted Driving (Operational Control) +/- Mobile Phone Task Performance
+/- Driving Task Performance
+/- System Performance (Functionality, Quality, Reliability, and Occupancy)
Conclusions (Work in Progress) Phase 2 • Behavioural adaptation theory was calibrated for speed selection behaviour. Behavioural Adaptation Theory
• Speed adaptation is the difference in speed deviation from the speed limit between phone and baseline conditions. • In the simulator study, drivers selected a lower speed while having mobile phone conversations. • The execution of in-vehicle tasks results in a two• The results have confirmed that road traffic way interaction between driving and using mobile complexity (e.g. heavy traffic), secondary task phones. demands (e.g. perceived auditory workload), and • Distracted driving influences safety, quality and driver characteristics (e.g. Attitudes) influence resiliency of the transport system. speed selection behaviour.