Results 1 to 10 of about 231,714 (306)

An Earlier Predictive Rollover Index Designed for Bus Rollover Detection and Prevention

Journal of Advanced Transportation, 2018
As vehicle rollovers annually cause a great deal of traffic-related deaths, an increasing number of vehicles are being equipped with rollover prevention systems with the aim of avoiding such accidents.
Shun Tian, Lang Wei, Chris Schwarz, WenCai Zhou, Yuan Jiao, YanQin Chen   +5 more
doaj   +1 more source

Determination of the possibility of an automobile drive wheel slip [PDF]

Avtomobilʹnyj Transport (Harʹkov), 2022
Problem. The disadvantage of the existing dependencies for determining the possibility of the automobile drive wheel slip with the maximum use of engine power and indicators of the interaction of the drive wheels with the supporting surface is that ...
Serhiy Shuklinov, Anatolii Uzhva, Mykola Aloksa, Oleh Tkachov, Myron Mahats   +4 more
doaj   +1 more source

Toward zero traffic deaths and disabilities with active and passive safety technologies in the association of southeast Asian nations

IATSS Research
Road traffic crashes caused more than 108,000 deaths and 6,200,000 injuries resulting in 7.7 million disability-adjusted life years (DALYs) lost in the Association of Southeast Asian Nations (ASEAN) in 2019.
Husam Muslim, Marko Medojevic, Sandra Watanabe, Hisashi Imanaga, Nobuyuki Uchida, Sou Kitajima, Genya Abe   +6 more
doaj   +1 more source

Physician’s Role in Managing Driver’s Licenses for Older Adults: Implications for Korea [PDF]

Annals of Geriatric Medicine and Research
The increasing proportion of older adult drivers presents a growing road safety challenge in Korea, highlighted by a significant rise in traffic accidents involving individuals aged 65 years and older.
Seung Young Yoon, Da Hea Seo
doaj   +1 more source

Automobile braking and traction characteristics on the different road surfaces [PDF]

Transport, 2007
The present article depicts the results of the investigation into automobile braking parameters and traction characteristics on the different road surfaces.
E. Sokolovskij
doaj   +3 more sources

Supervisory Gaze Behaviour Under Different Automation Durations in Level 2 Driving: A First-Order Transition Analysis

Applied Sciences
Level 2 driving automation requires continuous driver supervision, yet common attention metrics often capture gaze allocation rather than the structure of supervisory scanning.
Hanna Chouchane, Jooheong Lee, Yuki Sakamura, Hiroki Nakamura, Genya Abe, Makoto Itoh   +5 more
doaj   +1 more source

PREVALENCE OF OLDER DRIVERS IN BRAZIL: RESULTS FROM VIGITEL 2018

Geriatrics, Gerontology and Aging, 2021
OBJECTIVE: To estimate the prevalence of Brazilian older adults who drive a car/ride a motorcycle, according to sociodemographic characteristics. METHODS: This cross-sectional study uses data from the 2018 Surveillance System for Risk and Protective ...
Eduardo Hauser, Aline Rodrigues Barbosa, Andréa Holz Pfützenreuter   +2 more
doaj   +1 more source

Subjective equivalence of steering wheel vibration and sound [PDF]

, 2005
The subjective equivalence between steering wheel vibration and sound was investigated in two experiments. In each experiment, 20 subjects were presented 64 pairs of simultaneous sound and vibration stimuli in a simulator which reproduced a realistic ...
Fustes, F, Giacomin, J
core   +1 more source

Trust rises, attention falls: divergent effects of exposure and education in driving automation

Frontiers in Computer Science
IntroductionDrivers supervising Level 2 automation must maintain situation awareness while the system controls steering and speed. Miscalibrated trust can contribute to overreliance and lapses in monitoring, whereas insufficient trust leads to disuse ...
Hanna Chouchane, Yuki Sakamura, Kenji Sato, Genya Abe, Makoto Itoh, Makoto Itoh, Makoto Itoh   +6 more
doaj   +1 more source

Empirical Evidence on the Use of Credit Scoring for Predicting Insurance Losses with Psycho-social and Biochemical Explanations [PDF]

, 2016
An important development in personal lines of insurance in the United States is the use of credit history data for insurance risk classification to predict losses.
Ai J., Bauer I., Best Review, Black K., Brown J.M., Gerra G., Harlow W.V., Harris C., Kenealy B., McLannahan B., Meyers G., Monaghan J.E., Papies E., PCI (Property Casualty Insurance Association of America), Rolison M.R., Rusli E., Voh K., White J.B., Wu C.-S. P., Zuckerman M.   +19 more
core   +1 more source