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Journal articles on the topic 'Night driving'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 January 2023

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1

Charman, W. N. "Night myopia and driving." Ophthalmic and Physiological Optics 16, no. 6 (1996): 474–85. http://dx.doi.org/10.1046/j.1475-1313.1996.96000245.x.

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2

Brown, Sandra. "Night Driving After LASIK." Ophthalmology 116, no. 11 (2009): 2260–2260. http://dx.doi.org/10.1016/j.ophtha.2009.06.035.

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3

Wilkie, Richard M., and John P. Wann. "Driving as Night Falls." Current Biology 12, no. 23 (2002): 2014–17. http://dx.doi.org/10.1016/s0960-9822(02)01337-4.

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4

Charman, W. "Night myopia and driving." Ophthalmic and Physiological Optics 16, no. 6 (1996): 474–85. http://dx.doi.org/10.1016/0275-5408(96)00024-5.

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5

Jory, W. "Testing night vision for driving." BMJ 322, no. 7287 (2001): 672. http://dx.doi.org/10.1136/bmj.322.7287.672.

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6

Carter, S., J. Siong, C. Hoyos, et al. "P018 The effects of zopiclone on sleep spindles in obstructive sleep apnea: A randomized placebo-controlled trial." SLEEP Advances 2, Supplement_1 (2021): A27. http://dx.doi.org/10.1093/sleepadvances/zpab014.066.

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Abstract Purpose This study aimed to determine the effects of a standard dose of zopiclone (7.5mg) on sleep spindle activity and to assess if potential changes in sleep spindles correlate with improvements in next-day measures of sleepiness and simulated driving performance in people with obstructive sleep apnoea (OSA). Methods Thirty-one people with OSA completed polysomnography (PSG) at baseline followed by 1-month nightly treatment with 7.5mg zopiclone or placebo according to a double-blind, parallel design (ANZCTRN12613001106729). Participants completed two further PSGs on the first (night

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Rhodes, Gina, Joshua Bernstein, and Ruth Grendell. "Nurses' drowsy driving prevention strategies: A qualitative exploratory multiple-case study." Journal of Nursing Education and Practice 9, no. 6 (2019): 73. http://dx.doi.org/10.5430/jnep.v9n6p73.

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Objective: To explore the strategies registered and licensed practical nurses implemented to lessen the possibility of driving while drowsy after working nights in hospitals, nursing homes, and home health facilities. A review of literature indicated shift work, circadian rhythm interruptions and multiple stressors such as age, caring for children/aging parents and working multiple jobs may affect drowsy driving. Studies on global drowsy driving and cultural differences may affect international applicability. Further research was needed to better understand drowsy driving best practices, train

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Aaron Peysack. "At the All-Night Driving Range." Antipodes 28, no. 2 (2014): 451. http://dx.doi.org/10.13110/antipodes.28.2.0451.

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9

Wood, J. M., D. A. Owens, M. I. Woolf, and J. Owens. "Predicting night-time visibility while driving." Journal of Vision 2, no. 7 (2010): 331. http://dx.doi.org/10.1167/2.7.331.

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10

Murugan, N., C. Sagong, A. S. Cuamatzi Castelan, et al. "0203 To and From the Night Shift: Risky On-the-Road Driving in Night Shift Workers." Sleep 43, Supplement_1 (2020): A79—A80. http://dx.doi.org/10.1093/sleep/zsaa056.201.

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Abstract Introduction Drowsy driving is a common occupational hazard for night shift workers (NSWs). While sleep loss is commonly identified as the primary culprit of drowsy driving, another critical factor to consider is circadian phase. However, the role of circadian phase in driving safety has not been well characterized in NSWs. This study examined if dim light melatonin offset (DLMOff, i.e. the cessation of melatonin secretion) is also a relevant phase marker of susceptibility to four different subtypes of risky on-the-road driving behaviors. Methods On-the-road driving was monitored over

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Vivoda, Jonathon M., David W. Eby, Renée M. St. Louis, and Lidia P. Kostyniuk. "Cellular Phone Use While Driving at Night." Traffic Injury Prevention 9, no. 1 (2008): 37–41. http://dx.doi.org/10.1080/15389580701737603.

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12

Eloholma, M., J. Ketomaki, P. Orrevetelainen, and L. Halonen. "Visual performance in night-time driving conditions." Ophthalmic and Physiological Optics 26, no. 3 (2006): 254–63. http://dx.doi.org/10.1111/j.1475-1313.2006.00313.x.

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13

Adrian, W. "Visibility Levels under Night-time Driving Conditions." Journal of the Illuminating Engineering Society 16, no. 2 (1987): 3–12. http://dx.doi.org/10.1080/00994480.1987.10748682.

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14

Strebel, Steffen, and Cornelius Neumann. "Creating high contrast in virtual night driving." Advanced Optical Technologies 8, no. 1 (2019): 47–54. http://dx.doi.org/10.1515/aot-2018-0048.

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Abstract The reproduction of glare scenarios in driving simulators is restricted by the limitations of conventional projector and display technology. In existing solutions, light sources are usually added to the optical path by combining common simulator technology with, for example, grids based on light-emitting diodes (LED). In this article, we introduce a new way to simulate glare sources on a common driving simulator back-projection screen using an additional projector and an additional reflective screen. In a first attempt, a concept with retroreflective sheets is proposed, and the requir

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15

Isenstadt, Sandy. "Auto-Specularity: Driving through the American Night." Modernism/modernity 18, no. 2 (2011): 213–31. http://dx.doi.org/10.1353/mod.2011.0023.

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16

Weber, Thomas, and Christian Plattfaut. "PC-based interactive simulator for night driving." ATZ worldwide 103, no. 11 (2001): 19–20. http://dx.doi.org/10.1007/bf03224522.

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17

McLean, A. J., C. N. Kloeden, and K. A. McCaul. "Drink-driving in the general night-time driving population, Adelaide 1989." Australian Journal of Public Health 15, no. 3 (2010): 190–93. http://dx.doi.org/10.1111/j.1753-6405.1991.tb00333.x.

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18

Abd Rahman, Nurul Izzah, Siti Zawiah Md Dawal, and Ardeshir Bahreininejad. "The Effects of Driving Environment on the Mental Workload of Train Drivers." Advanced Engineering Forum 10 (December 2013): 93–99. http://dx.doi.org/10.4028/www.scientific.net/aef.10.93.

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A study is carried out to investigate the effects of driving environment on the mental workload of train drivers while driving. The driving task is performed under three environmental conditions, i.e. clear sunny day, rainy day and rainy night driving. Electroencephalography (EEG) measurements are recorded from the Fz and Pz channels of fifteen male subjects aged between 24 to 48 years old. The mean alpha power is monitored as a function of time as this signal reflects the variations in mental workload of the drivers. The results exhibit that the signal pattern for rainy night driving conditio

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19

Dickerson, Anne, and Juliette Leonardo. "Comparing Young and Old Adults’ Night Hazard Detection With Driving Simulation and on Road." Innovation in Aging 5, Supplement_1 (2021): 264. http://dx.doi.org/10.1093/geroni/igab046.1020.

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Abstract While there is validity of using driving simulation as a proxy for on-road performance, few studies have examined hazard detection at night. Night driving is a self-restricting practice with little evidence demonstrating the need with healthy older adults. This study’s objective was to analyze night driving using eye-tracking technology examining differences between on-road/simulated drives and older/younger adults. A 2 (old, young) x 2 (simulator, on-road) repeated-measures design measured three roadway “hazards” of pedestrains looking at their cell phone while posed to cross the roa

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20

Lee, Michael L., Mark E. Howard, William J. Horrey, et al. "High risk of near-crash driving events following night-shift work." Proceedings of the National Academy of Sciences 113, no. 1 (2015): 176–81. http://dx.doi.org/10.1073/pnas.1510383112.

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Night-shift workers are at high risk of drowsiness-related motor vehicle crashes as a result of circadian disruption and sleep restriction. However, the impact of actual night-shift work on measures of drowsiness and driving performance while operating a real motor vehicle remains unknown. Sixteen night-shift workers completed two 2-h daytime driving sessions on a closed driving track at the Liberty Mutual Research Institute for Safety: (i) a postsleep baseline driving session after an average of 7.6 ± 2.4 h sleep the previous night with no night-shift work, and (ii) a postnight-shift driving

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21

He, Jia, Rui Qiang Ren, and Hui Rong. "An Advanced Vehicle Night Driving Assistance System Based on the DaVinci Platform." Advanced Materials Research 468-471 (February 2012): 277–80. http://dx.doi.org/10.4028/www.scientific.net/amr.468-471.277.

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The paper will mainly work for the establishment of advanced vehicle night driving assistance system based on the DaVinci™ platform., which including the adaptive front lighting subsystem, the infrared night vision lighting subsystems and the embedded processing platform. The implementation and system integration applications of the adaptive front lighting technology based on driving behavior and the infrared night vision technology are main research objects. Through intelligent auxiliary lighting and enhance vision, driver awareness at night and road safety are significantly improve.

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22

Bella, Francesco, Alessandro Calvi, and Fabrizio D'Amico. "Analysis of driver speeds under night driving conditions using a driving simulator." Journal of Safety Research 49 (June 2014): 45.e1–52. http://dx.doi.org/10.1016/j.jsr.2014.02.007.

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23

Kang, Ho-Joon, and Seong-Jin Kwon. "A Study on the Night Visibility Evaluation Method of Color Temperature Convertible Automotive Headlamps Considering Weather Conditions." Applied Sciences 11, no. 18 (2021): 8661. http://dx.doi.org/10.3390/app11188661.

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This study evaluated a method of applying color temperature convertible headlamps to improve driving safety in adverse weather conditions such as fog and rain during night driving. The concept of color temperature convertible headlamps is to improve the driver’s visibility by driving with a color temperature of 6000 K on a clear night and switching to a color temperature of 3000 K with better light transmittance at night in adverse weather. Through this study, a method for evaluating the night visibility related to such color temperature convertible headlamps under bad weather at night was sug

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24

Ohkubo, Takao, Michiyoshi Aoki, Yoshinori Horie, and Masahiro Akutsu. "Ergonomic Study on Vehicle Drivers at Night Driving." Japanese journal of ergonomics 33, Supplement (1997): 424–25. http://dx.doi.org/10.5100/jje.33.supplement_424.

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25

Geiger-Brown, Jeanne, and Anthony McDonald. "Mitigating Drowsy Driving Risk for Night Shift Nurses." AJN, American Journal of Nursing 121, no. 10 (2021): 11. http://dx.doi.org/10.1097/01.naj.0000794192.75580.70.

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26

Gruber, Nicole, Urs P. Mosimann, René M. Müri, and Tobias Nef. "Vision and Night Driving Abilities of Elderly Drivers." Traffic Injury Prevention 14, no. 5 (2013): 477–85. http://dx.doi.org/10.1080/15389588.2012.727510.

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27

PLAINIS, SOTIRIS, IAN J. MURRAY, and WILLIAM N. CHARMAN. "The Role of Retinal Adaptation in Night Driving." Optometry and Vision Science 82, no. 8 (2005): 682–88. http://dx.doi.org/10.1097/01.opx.0000175559.77853.45.

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28

Brémond, Roland, Aurélie Dommes, and Léa Engel. "Driving at night with a cataract: Risk homeostasis?" Transportation Research Part F: Traffic Psychology and Behaviour 53 (February 2018): 61–73. http://dx.doi.org/10.1016/j.trf.2017.12.009.

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29

Arumi, P., K. Chauhan, and W. N. Charmant. "Accommodation and acuity under night-driving illumination levels." Ophthalmic and Physiological Optics 17, no. 4 (1997): 291–99. http://dx.doi.org/10.1111/j.1475-1313.1997.tb00060.x.

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30

Huffmyer, Julie L., Matthew Moncrief, Jessica A. Tashjian, et al. "Driving Performance of Residents after Six Consecutive Overnight Work Shifts." Anesthesiology 124, no. 6 (2016): 1396–403. http://dx.doi.org/10.1097/aln.0000000000001104.

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Abstract Background Residency training requires work in clinical settings for extended periods of time, resulting in altered sleep patterns, sleep deprivation, and potentially deleterious effects on safe performance of daily activities, including driving a motor vehicle. Methods Twenty-nine anesthesiology resident physicians in postgraduate year 2 to 4 drove for 55 min in the Virginia Driving Safety Laboratory using the Driver Guidance System (MBFARR, LLC, USA). Two driving simulator sessions were conducted, one experimental session immediately after the final shift of six consecutive night sh

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31

Wang, Xuan, Yan Mao, Jing Jing Xiong, and Wu He. "Yellow light decision based on driving style: Day or night?" PLOS ONE 17, no. 3 (2022): e0265267. http://dx.doi.org/10.1371/journal.pone.0265267.

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Drivers’ driving decisions at yellow lights are an important cause of accidents at intersections. As proved by existing studies, driving style is an important basis for a driver to decide to pass a yellow light or not. This study, therefore, aims to investigate the effects of different driving styles on driving decisions at yellow lights under different lighting conditions. Specifically, 64 licensed drivers were recruited to comparative study the effects of different driving styles on the decision to pass through yellow lights under both daytime and nighttime lighting conditions using a drivin

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32

KECKLUND, GÖRAN, and TORBJÖRN ÅKERSTEDT. "Sleepiness in long distance truck driving: an ambulatory EEG study of night driving." Ergonomics 36, no. 9 (1993): 1007–17. http://dx.doi.org/10.1080/00140139308967973.

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33

Yamasaki, Tomoyo, Kenya Yuki, Sachiko Awano-Tanabe, et al. "Binocular superior visual field areas associated with driving self-regulation in patients with primary open-angle glaucoma." British Journal of Ophthalmology 105, no. 1 (2020): 135–40. http://dx.doi.org/10.1136/bjophthalmol-2019-315187.

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Background/aimsThe aim of our study was to investigate the associations between driving self-regulation and glaucoma severity, and between driving self-regulation and glaucomatous visual field (VF) defect patterns.MethodsIn 247 patients with primary open-angle glaucoma included in this prospective observational study, a battery of ophthalmic examination was performed, including visual acuity (VA) and VF. Integrated binocular VF was constructed and mean of total deviation (mTD) values in four sectors was calculated (mTDsup-peri, mTDsup-centre, mTDinf-peri and mTDinf-centre). In addition, all pa

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34

Trenggono, Trenggono, Mengku Marhendi, and Haniek Listyorini. "Driving Night Travel Decisions with Local Wisdom Product Offers to Enhance the Travel Experience." Journal of World Science 1, no. 11 (2022): 988–97. http://dx.doi.org/10.58344/jws.v1i11.120.

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Introduction: Big cities in Indonesia intensify night tourism activities in their respective cities to increase tourist visits and provide a different atmosphere for the experience. This study aims firstly to examine how the influence of local wisdom product offerings typical of a destination on the decisions of night tourism entrepreneurs, secondly to explore the impact of local wisdom products on the travel experience, and thirdly to examine the effect of night tourism decisions. Method: To test this model, 100 tourist respondents were taken at several points of night tourism activities in S

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Moessinger, Michèle, Ralf Stürmer, and Markus Mühlensiep. "Auditive beta stimulation as a countermeasure against driver fatigue." PLOS ONE 16, no. 1 (2021): e0245251. http://dx.doi.org/10.1371/journal.pone.0245251.

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Objective Fatigue in road traffic can occur after long driving times or during night-time driving and can lead to a dangerous decrease in vigilance or microsleep. As a countermeasure, the effectiveness of brain stimulation by means of frequency-modified music is investigated. Small frequency shifts between two different sounds simultaneously perceived by both ears (e.g. 400 and 418 Hz) stimulate the brain to increase activity in the stimulated range (e.g. 18 Hz). Methods The effects of acoustic brain entrainment (ABE) in the EEG beta range (12–20 Hz) were compared to placebo during day and nig

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36

Chaparro, Alex, Loretta McGregor, and Laszlo Stumpfhauser. "The Driving Habits of Older Adults with Visual Impairment." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 42, no. 17 (1998): 1266–70. http://dx.doi.org/10.1177/154193129804201719.

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It is estimated that there are 3 million Americans with visual impairment (best corrected acuity of 20/40). How many persons with visual impairment drive and how their driving habits differ from elderly drivers without visual impairment is not known. To address this issue a driving survey was administered to a group of elderly (mean age = 78.69, SD=10.73) recruited from a retirement home community and an agency providing services to persons with visual impairment. The survey solicited demographic information (age, sex, education level), information about driving habits (miles driven yearly, fr

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37

Mortimer, Rudolf G. "Older Drivers' Visibility and Comfort in Night Driving: Vehicle Design Factors." Proceedings of the Human Factors Society Annual Meeting 33, no. 3 (1989): 154–58. http://dx.doi.org/10.1177/154193128903300301.

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Older persons are a growing proportion in the population, among drivers and those involved in traffic accidents. Changes in visual abilities of older persons are pertinent to night driving in which they need greater brightness contrast to see and minimum glare. Vehicle headlighting and related factors are reviewed which affect visibility and comfort in night driving. Older drivers, in particular, would be aided at night by: increasing the reflectivity of objects, limiting the mounting height of headlamps, appropriate reflectivities of mirrors for control of glare, automatic headlamp alignment,

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38

Llewellyn, Richard, Jonathan Cowie, and Mike Maher. "Active Road Studs as an Alternative to Lighting on Rural Roads: Driver Safety Perception." Sustainability 12, no. 22 (2020): 9648. http://dx.doi.org/10.3390/su12229648.

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Drivers, particularly with increasing age, cite driving at night as being problematic and feeling unsafe. Ultimately this may result in self-regulation and avoidance, with potentially negative health effects. The issue is commonly mitigated through provision of street lighting, but with it comes cost, environmental impact, and other negative effects. Research has suggested that provision of LED Active Road Studs may be of assistance to drivers at night. However, it is not known how implementation of this measure affects driver confidence, as research to date has focused on observational study

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39

Mortimer, Rudolf G. "The Effect of Expectancy on Visibility in Night Driving." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 40, no. 10 (1996): 506–10. http://dx.doi.org/10.1177/154193129604001005.

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The role of expectancy on the perceptions of drivers is an important variable that affects highway safety. But, it is not well understood. An experiment in which the visibility of a pedestrian dummy was measured found that the visibility distance was twice as great when drivers expected the pedestrian than when it was unexpected. The results of that study have been used as though the 2:1 ratio in visibility could be extrapolated to other night driving conditions. Arguments against such generalization are made. They involve analyses of the illumination of headlamp beams, the probability of dete

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40

Åkerstedt, Torbjörn, Göran Kecklund, and Lars-Göran Hörte. "Night Driving, Season, and the Risk of Highway Accidents." Sleep 24, no. 4 (2001): 401–6. http://dx.doi.org/10.1093/sleep/24.4.401.

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41

Black, Alex A., Joanne M. Wood, Luisa H. Colorado, and Michael J. Collins. "The impact of uncorrected astigmatism on night driving performance." Ophthalmic and Physiological Optics 39, no. 5 (2019): 350–57. http://dx.doi.org/10.1111/opo.12634.

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42

BRABYN, JOHN A., MARILYN E. SCHNECK, LORI A. LOTT, and GUNILLA HAEGERSTR??M-PORTNOY. "Night Driving Self-Restriction: Vision Function and Gender Differences." Optometry and Vision Science 82, no. 8 (2005): 755–64. http://dx.doi.org/10.1097/01.opx.0000174723.64798.2b.

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43

Kloesch, Gerhard, Doris Moser, Marion Seidenberger-Wutzl, John Dittami, and Josef Zeitlhofer. "W-O-126 NIGHT TIME DRIVING – AN UNDERESTIMATED RISK." Sleep Medicine 12 (September 2011): S127. http://dx.doi.org/10.1016/s1389-9457(11)70473-7.

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44

Olmeda, Daniel, Arturo de la Escalera, and José María Armingol. "Far infrared pedestrian detection and tracking for night driving." Robotica 29, no. 4 (2010): 495–505. http://dx.doi.org/10.1017/s0263574710000299.

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SUMMARYThis paper presents a module for pedestrian detection from a moving vehicle in low-light conditions. The algorithm make use of a single far infrared camera based on a microbolometer. Images of the area ahead of the vehicle are analyzed to determine if any pedestrian might be in its trajectory. Detection is achieved by searching for distributions of temperatures in the scene similar to that of the human body. Those areas with an appropriate temperature, size, and position in the image are classified, by means of a correlation between them and some probabilistic models, which represents t

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45

Jiang, Rui, and Qing-Song Wu. "The night driving behavior in a car-following model." Physica A: Statistical Mechanics and its Applications 375, no. 1 (2007): 297–306. http://dx.doi.org/10.1016/j.physa.2006.09.011.

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46

Wood, Joanne M., Gillian Isoardi, Alex Black, and Ian Cowling. "Night-time driving visibility associated with LED streetlight dimming." Accident Analysis & Prevention 121 (December 2018): 295–300. http://dx.doi.org/10.1016/j.aap.2018.08.023.

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47

Smith, Alec, Anthony D. McDonald, and Farzan Sasangohar. "Night-shift nurses and drowsy driving: A qualitative study." International Journal of Nursing Studies 112 (December 2020): 103600. http://dx.doi.org/10.1016/j.ijnurstu.2020.103600.

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48

Keall, Michael D., William J. Frith, and Tui L. Patterson. "The contribution of alcohol to night time crash risk and other risks of night driving." Accident Analysis & Prevention 37, no. 5 (2005): 816–24. http://dx.doi.org/10.1016/j.aap.2005.03.021.

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49

AKERSTEDT, TORBJORN, BJORN PETERS, ANNA ANUND, and GORAN KECKLUND. "Impaired alertness and performance driving home from the night shift: a driving simulator study." Journal of Sleep Research 14, no. 1 (2005): 17–20. http://dx.doi.org/10.1111/j.1365-2869.2004.00437.x.

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50

Park, Sang-Woo, Aviroop Mukherjee, Frank Gross, and Paul P. Jovanis. "Safety Implications of Multiday Driving Schedules for Truck Drivers." Transportation Research Record: Journal of the Transportation Research Board 1922, no. 1 (2005): 167–74. http://dx.doi.org/10.1177/0361198105192200121.

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The detailed analysis of preexisting crash and noncrash data representing an estimated 16 million vehicle miles of travel has revealed strong consistency between crash analysis using data from the 1980s and field experiments conducted in the 1990s. Time of day of driving is associated with crash risk: night and early morning driving has elevated risk in the range of 20% to 70% compared with daytime driving. Overall, 16 of 27 night and early morning driving schedules had elevated risk. Irregular schedules with primarily night and early morning driving had relative risk increases of 30% to 80%.

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