Police and public perspectives on the use and impacts of technology that expose enforcement locations for phone use while driving

Avoiding being caught and punished has consistently been demonstrated to be a key predictor of continued engagement in risky and illegal phone use while driving. This is a large concern, as the presence of applications such as Google Maps, Apple Maps, Waze, and social media pages/groups that share the location of enforcement activities related...

A generic multi-level framework for microscopic traffic simulation: Theory and an example case in modelling driver distraction

Incorporation of more sophisticated human factors (HF) in mathematical models for driving behavior has become an increasingly popular and important research direction in the last few years. Such models enable us to simulate under which conditions perception errors and risk-taking lead to interactions that result in unsafe traffic conditions...

Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence

Adaptive cruise control (ACC), a driver assistance system that controls longitudinal motion, has been introduced in consumer cars in 1995. A next milestone is highly automated driving (HAD), a system that automates both longitudinal and lateral motion. We investigated the effects of ACC and HAD on drivers’ workload and situation awareness...