Advanced Driver Assistance (ADA) systems currently operate within vehicles, offering drivers assistance to either avoid hazardous situations, or information to make travelling easier. However, these devices have the potential to contribute to driver distraction as they require a certain level of driver attention in order to provide a benefit, taking cognitive, visual, auditory, and manual resou...

This report provides a comprehensive review of the current research on driver distractions deriving from within the vehicle. The impact of technology (e.g., mobile phones and route guidance systems) and non technology-based distractions (e.g., eating, smoking and conversing with passengers) on driving performance is examined and the relative influence of these distractions on driving is discuss...

This tutorial will briefly introduce: (1) the evolution of driver distraction, (2) key definitions that have been proposed, (3) research methods used in the assessment of distracted driving, (4) the sensitivity of different techniques for measuring user interface demand, e.g. eye tracking, physiological monitoring, task and driving performance, (5) differences in the expression of visual, manip...

This paper introduces CARS, an open source driving simulator tool for evaluating driver distraction. We present the map editor, the driving simulation tool and the analysis tool included in CARS. Based on initial results from initial user studies we illustrate the effectiveness of CARS in evaluating different secondary tasks (e.g., compare different UIs for navigation systems) with regard to dr...

ITE JOURNAL / JULY 2003 INTRODUCTION The National Highway Traffic Safety Administration (NHTSA) has estimated that driver inattention is a causative factor in 25–30 percent of police-reported traffic crashes in the United States— approximately 1.2 million crashes per year.1,2 An inattentive driver may be distracted temporarily from the driving task by something inside or outside the vehicle, ma...

Driver distraction is recognized as being one of the central causes of road traffic incidents and mobile telephones are tangible devices (among many other electronic devices) that can distract the driver through changes in workload. Forty participants completed a motorway route characterized by a low level of road complexity in the form of vehicle handling and information processing. A peripher...

We describe work-in-progress prototypes of auditory displays for fuel efficiency driver interfaces (FEDIs). Although research has established that feedback from FEDIs can have a positive impact on driver behaviors associated with fuel economy, the impact of FEDIs on driver distraction has not been established. Visual displays may be problematic for providing this feedback; it is precisely durin...

This paper describes recent advances in the analysis and classification of driver behavior in actual driving scenarios. We employ data obtained from the UTDrive corpus to model driving behavior and to detect if distraction due to secondary tasks is present. Hidden Markov Models (HMMs) are used to capture the sequence of driving characteristics acquired from the vehicle’s CAN-Bus (Controller Are...

Distraction and inattention are considered to be very important and prevalent factors in the causation of road accidents. There have been many recent research studies which have attempted to understand the circumstances under which a driver becomes distracted or inattentive and how distraction/inattention can be prevented. Both factors are thought to have become more important in recent times p...

The U.S. National Highway Traffic Safety Administration has reported that the major cause of vehicle crashes in the United States has been driver inattention and distraction. Among various types of distraction, cell-phone dialing and text messaging have been shown to significantly degrade driving performance. Existing studies have mainly focused on driver distraction scenarios with one or a few...