While recent developments in telematics have produced great interest in driver distraction, this is hardly a new topic. An early UMTRI report (Treat, 1980) defined internal distraction as a diversion of attention from the driving task that is compelled by an activity or event inside the vehicle. Based on data collected in Monroe County Indiana, Treat (1980) concluded that internal distraction w...

Driver distraction has become a critical area of study both for research in investigating human multitasking abilities and for practical purposes in developing and constraining new in-vehicle devices. This work utilizes an integratedmodel approach to predict driver distraction from a primarily cognitive secondary task. It integrates existing models for a sentence-span task and driving task and ...

Driver distraction is one of the leading causes driving-related accidents worldwide. The ability to detect driver preemptively crucial reducing number such accidents. This paper utilizes a novel multimodal dataset thermal, visual, near-infrared, and physiological signals recorded from 45 subjects in order identify distraction. We explore imbalanced identification as four-class problem across di...

The possibilities for measuring workload or driver distraction by means of the Peripheral Detection Task during driving with in-vehicle equipment were investigated in a driving simulator experiment. The results show that the Peripheral Detection Task is a very sensitive method of measuring peaks in workload, induced by either a critical scenario or messages provided by a driver support system. ...

Each year, many people pass away in car accidents. Drunk driving, distracted and fatigued driving are the leading causes of Some studies have noted that features relevant to drunk driver’s alcohol consumption, smoking, carbon monoxide (CO) concentration car. Hence, it is important necessary detect these factors during avoid driver drowsiness prevent collisions. In this paper, we develop an IoT-...

Five years (1995-1999) of national Crashworthiness Data System (CDS) data are analyzed to determine the role of driver distraction in traffic crashes and the specific sources of this distraction. Results show that 8.3 percent of the drivers were distracted at the time of their crash; after adjustment for the large percentage of drivers with unknown distraction status, the percentage rose to 12....

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Driver distraction from in-vehicle tasks can have negative impacts on longitudinal and lateral vehicle control and brake reaction time. The distraction problem is wellestablished in the literature, and is increasing due to advances in the functionality, availability, and number of in-vehicle systems. One approach to a solution is managing in-vehicle task presentation to reduce associated distra...