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Author Bullough, J.D.; Skinner, N.P.; Plummer, T.T.
Title Assessment of an Adaptive Driving Beam Headlighting System: Visibility and Glare Type Journal Article
Year 2016 Publication Transportation Research Record: Journal of the Transportation Research Board Abbreviated Journal Transportation Research Record: Journal of the Transportation Research Board
Volume (down) 2555 Issue Pages 81-85
Keywords Lighting
Abstract Recent developments in solid-state lighting, sensor, and control technologies make new configurations for vehicle forward lighting feasible. Adaptive driving beam (ADB) systems build on systems that automatically switch from high- to low-beam headlights in the presence of oncoming vehicles. ADB systems can detect oncoming headlights and preceding taillights and reduce their intensity only in the direction of the other lights, while they maintain higher levels of illumination throughout the remainder of the field of view. The nominal benefit of ADB systems is the provision of high-beam levels of illumination in the forward scene, while glare is reduced to oncoming and preceding drivers, who perceive low-beam illumination levels. In this study, two dynamic field experiments were conducted: one experiment measured the ability of observers to identify the walking direction of roadside pedestrian targets with and without the use of the ADB system; the other experiment evaluated the discomfort glare elicited by the ADB system compared with the glare from conventional low- and high-beam headlights. The findings from both experiments were consistent with previous analytical and static field tests and suggested that ADB systems can offer safety benefits beyond those offered by conventional headlight systems.
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0361-1981 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number LoNNe @ kyba @ Serial 1618
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Author Bassani, M.; Mutani, G.
Title Effects of Environmental Lighting Conditions on Operating Speeds on Urban Arterials Type Journal Article
Year 2012 Publication Transportation Research Record: Journal of the Transportation Research Board Abbreviated Journal Transportation Research Record
Volume (down) 2298 Issue 1 Pages 78-87
Keywords Lighting; Public Safety
Abstract Driver behavior is influenced by environmental lighting conditions on roads; in the literature, many studies report a reduced night–day accident ratio following improvements to lighting on different types of roads, with the results classified by severity and type of accident. Few studies, however, report the influence of lighting conditions on driver speed. This study investigates the principal factors that influence driver speed on arterial roads in Turin, Italy. The aim of this study was to analyze driver speed under different daylight and nighttime lighting conditions. Six arterial roads were selected for observation and the measurement of speeds and illuminance on the pavement surface. The results showed that illuminance, in addition to factors such as lane position, lane width, and the relevant speed limit, should be considered a variable that can influence driver speed. The study used a regression equation to predict operating speeds (V85) on urban arterials; the corresponding sensitivity analysis has made it possible to quantify the effects of the aforementioned variables on operating speed under different environmental lighting conditions.
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0361-1981 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2872
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Author Priyatikanto, R.; Mayangsari, L.; Prihandoko, R.A.; Admiranto, A.G.
Title Classification of Continuous Sky Brightness Data Using Random Forest Type Journal Article
Year 2020 Publication Advances in Astronomy Abbreviated Journal Advances in Astronomy
Volume (down) 2020 Issue Pages 1-11
Keywords Skyglow
Abstract Sky brightness measuring and monitoring are required to mitigate the negative effect of light pollution as a byproduct of modern civilization. Good handling of a pile of sky brightness data includes evaluation and classification of the data according to its quality and characteristics such that further analysis and inference can be conducted properly. This study aims to develop a classification model based on Random Forest algorithm and to evaluate its performance. Using sky brightness data from 1250 nights with minute temporal resolution acquired at eight different stations in Indonesia, datasets consisting of 15 features were created to train and test the model. Those features were extracted from the observation time, the global statistics of nightly sky brightness, or the light curve characteristics. Among those features, 10 are considered to be the most important for the classification task. The model was trained to classify the data into six classes (1: peculiar data, 2: overcast, 3: cloudy, 4: clear, 5: moonlit-cloudy, and 6: moonlit-clear) and then tested to achieve high accuracy (92%) and scores (F-score = 84% and G-mean = 84%). Some misclassifications exist, but the classification results are considerably good as indicated by posterior distributions of the sky brightness as a function of classes. Data classified as class-4 have sharp distribution with typical full width at half maximum of 1.5 mag/arcsec2, while distributions of class-2 and -3 are left skewed with the latter having lighter tail. Due to the moonlight, distributions of class-5 and -6 data are more smeared or have larger spread. These results demonstrate that the established classification model is reasonably good and consistent.
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Language Summary Language Original Title
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Series Volume Series Issue Edition
ISSN 1687-7969 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2878
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Author Liu, J.; Cai, J.; Lin, S.; Zhao, J.
Title Analysis of Factors Affecting a Driver’s Driving Speed Selection in Low Illumination Type Journal Article
Year 2020 Publication Journal of Advanced Transportation Abbreviated Journal Journal of Advanced Transportation
Volume (down) 2020 Issue Pages Article ID 2817801
Keywords Public Safety
Abstract To better understand a driver’s driving speed selection behaviour in low illumination, a self-designed questionnaire was applied to investigate driving ability in low illumination, and the influencing factors of low-illumination driving speed selection behaviour were discussed from the driver’s perspective. The reliability and validity of 243 questionnaires were tested, and multiple linear regression was used to analyse the comprehensive influence of demographic variables, driving speed in a low-illumination environment with street lights and driving ability on speed selection behaviour in low illumination without street lights. Pearson’s correlation test showed that there was no correlation among age, education, accidents in the past 3 years, and speed selection behaviour in low illumination, but gender, driving experience, number of night-driving days per week, and average annual mileage were significantly correlated with speed selection behaviour. In a low-illumination environment, driving ability has a significant influence on a driver’s speed selection behaviour. Technical driving ability under low-illumination conditions of street lights has the greatest influence on speed selection behaviour on a road with a speed limit of 120 km/h (β = 0.51). Risk perception ability has a significant negative impact on speed selection behaviour on roads with speed limits of 80 km/h and 120 km/h (β = −0.25 and β = −0.34, respectively). Driving speed in night-driving environment with street lights also has a positive influence on speed selection behaviour in low illumination (β = 0.61; β = 0.28; β = 0.37).
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0197-6729 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2913
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Author Xu, P.; Jin, P.; Cheng, Q.
Title Monitoring Regional Urban Dynamics Using DMSP/OLS Nighttime Light Data in Zhejiang Province Type Journal Article
Year 2020 Publication Mathematical Problems in Engineering Abbreviated Journal Mathematical Problems in Engineering
Volume (down) 2020 Issue Pages 1-10
Keywords Remote Sensing
Abstract Accurate monitoring of urban regions and urban sprawls is critical to the detection and assessment of regional development. The nighttime light images of Defense Meteorological Satellite Program’s Operational Linescan System (DMSP/OLS) provide us direct solutions to make spatial descriptions of urban regions. Unfortunately, accurate monitoring of urban regions is apt to be hampered due to the shortages of the DMSP/OLS data. In this study, we utilized a new urban region extraction strategy based on the edge-detection method which is widely applied in automatic digital image processing. The edges of urban areas in Zhejiang province were identified based on the distributions and values of pixels. Compared with other traditional methods, the urban regions extracted in this study present a higher overall accuracy and kappa coefficient (OA = 93.1409%; Kappa = 0.8755). Two periods of the urban dynamic process and urban sprawl pattern in Zhejiang from 1992–2013 were further detected by the proposed method. At city level, the drastic increase in urban areas was found in cities of Hangzhou and Ningbo. This study provides an objective and convenient solution to the accurate identification of urban regions, which is also an important step to better understand the urban dynamics and urban development.
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Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1024-123X ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial 2979
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