Driver’s Behaviour Analytics in the Traffic Accident Risk Evaluation

Sai Sambasiva Rao Bairaboina () and D. Hemavathi ()
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Sai Sambasiva Rao Bairaboina: SRM Institute of Science and Technology, Department of Information Technology
D. Hemavathi: SRM Institute of Science and Technology, Department of Information Technology

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 1355-1361 from Springer

Abstract: Abstract As the driver is the data beneficiary and essential chief in the driving procedure, this examination expects to research a driver’s hazard attention to survey a driver’s wellbeing. We built up a scale for evaluating a driver’s hazard mindfulness, which comprises of four scales: risk attitude, risk perception and risk behavior, and the sensation seeking scale. The markers are named below average records, for example, the general disposition towards obeying rules, forceful infringement and consciousness of safe driving, and so forth. In this investigation, with the end goal to build up a hazard mindfulness show, a study was directed in India. In view of the overview, exploratory factor investigation of the scale uncovered three hazard mindfulness factors (chance state of mind, chance recognition and hazard conduct), likewise named top of the line lists. Aftereffects of measurably breaking down the overview demonstrated that a few drivers in our investigation have high hazard mindfulness. Moreover, a graph was developed dependent on the relapse investigation of a driver’s sensation chasing and chance mindfulness lists. It created the impression that the higher the driver’s sensation seeking, the lower the driver’s hazard mindfulness.

Keywords: Driver’s behaviour; Driver’s state of mind and hazard (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-41862-5_139

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DOI: 10.1007/978-3-030-41862-5_139

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