Predicting the Effects of Discomfort Glare on Visual Performance of Pilots during Nighttime Flying

Similar documents
Model predicting discomfort glare caused by LED road lights Lin, Y.; Liu, Y.; Sun, Y.; Zhu, X.; Lai, J.; Heynderickx, I.E.J.

Lab NotesIssue. Disability Glare in the Outdoor Workplace

(65th GRE, March 2011, agenda item 4(d))

An Experimental Approach to a Definition of the Mesopic Adaptation Field

Disability glare: A study in simulated road lighting conditions

A Study of Mesopic Adaptation conditions for Night Drivers using an approximation for Oncoming headlight glare

MODELING PERIPHERAL VISIBILITY UNDER HEADLAMP ILLUMINATION

White Paper Luminance & Illuminance. Brief explanation of photometry for the application of tunnel lighting control

UNIVERSITY OF HONG KONG Faculty of Engineering M.Sc.(Eng) in Building Services Engineering MEBS6002 LIGHTING ENGINEERING

L ight color influence on obstacle recognition in road lighting. 1. Introduction

ISSN LIGHT & ENGINEERING. Volume 20, Number 1, 2012 ENGINEERING LIGHT & Znack Publishing House, Moscow

EXPERIMENTAL STUDY ON WALKING SPEED IN ESCAPE ROUTE CONSIDERING LUMINOUS CONDITION, SMOKE DENSITY AND EVACUEE S VISUAL ACUITY

Disability and discomfort are two commonly experienced. Eye Movement and Pupil Size Constriction Under Discomfort Glare

DISCOMFORT GLARE FROM SMALL, HIGH LUMINANCE LIGHT SOURCES IN OUTDOOR NIGHTTIME ENVIRONMENTS

Assessment of pedestrian discomfort glare from urban LED lighting

Motor vehicle and pedal cycle conspicuity - part 3: retroflective and fluorescent materials, disability glare of red markings.

Solar reflected glare affecting visual performance

RELATIONSHIP BETWEEN STATIC AND DYNAMIC STEREO ACUITY 1

Brightness induction: Unequal spatial integration with increments and decrements

Contrast Sensitivity

DEA 350: HUMAN FACTORS: THE AMBIENT ENVIRONMENT (Spring 2008)

Mesopic Photometry for SSL. Teresa Goodman Metrology for SSL Meeting 24 th April 2013

Review of optimal road surface luminance considering dazzling by headlight of the car running in the opposite direction

The Control of Glare by the AS1680 Systems

DEA 3500: HUMAN FACTORS: THE AMBIENT ENVIRONMENT (Fall 2017)

The Influence of Fog on Motion Discrimination Thresholds in Car Following

--- . \ \ Visibility of Targets. ~~Lr ~ I\ ~ 4 negative Contrast ... WERNER ADRIAN. positive Contrast. Eye. -2 logo.

DRAFT MANUSCRIPT. Title: Legibility of Text on Traffic Signs as a Function of Luminance and Size

A COMPARISON BETWEEN DGI OBTAINED THROUGH DIFFERENT METHODS AND PERCEIVED EVALUATION INDEX DDG

Fundamentals of light

Fundamentals of light

AERODROMES PANEL (AP) VISUAL AIDS WORKING GROUP (VAWG) FIFTH MEETING. Montréal, Canada, 25 to 27 June 2008

Simultaneous lightness contrast with double increments

Lesson 2. Visual Performance 2-1

Glare and visibility by headlight for pedestrian and elderly driver. 22 October 2018 National Traffic Safety and Environment Laboratory

Surround effects on the shape of the temporal contrast-sensitivity function

Daylight Glare analysis and metrics

A conventional approach to nighttime visibility in adverse weather conditions

Ground verification checks for PAPI.

ROAD TUNNEL LIGHTING Lighting power controllers

DESIGN CRITERIA FOR TUNNEL LIGHTING

CHAPTER 5 RANDOM ROAD ANALYSIS

Calculation Model for Travel Speed and Psychological State in Escape Routes considering Luminous Condition, Smoke Density and Evacuee s Visual Acuity

Photometric measurements for visibility level computations

Chapter 5 Forward-backward asymmetry: the effect of body position and pointer shapes

When is sign lighting needed? How much is needed?

2008 Znack Publishing House. Reprinted with permission.

Safe Transportation Research & Education Center UC Berkeley

Hue discrimination in peripheral vision under conditions of dark and light adaptation*

Feasibility Investigation on Reduced-Power Take-off of MA600

Using a Quantitative Measure to Achieve a Qualitative Lighting Design Effect! Introduction What is Luminance?

INSPIRATION FROM NATURE

ASSESSMENT OF NON-COHERENT LIGHT SOURCES

DEA 3500: HUMAN FACTORS: THE AMBIENT ENVIRONMENT (Spring 2013)

1817. Research of sound absorption characteristics for the periodically porous structure and its application in automobile

CZECH TECHNICAL UNIVERSITY IN PRAGUE FACULTY OF TRANSPORTATION SCIENCES

Proposed Diffuse Ambient Contrast Measurement Methods for Flat Panel Displays

Glare and dynamic glare evaluation. Jan Wienold Fraunhofer-Institute for Solar Energy Systems, Freiburg, Germany

Shengfu LU Professor Brain Informatics Laboratory International WIC Institute Beijing University of Technology Beijing, China

Exploring Simple Assessment Methods for Lighting Quality with Architecture and Design Students

2007 Technical University of Cluj Napoca, Lighting Engineering Center

Topic 4 &11 Review Waves & Oscillations

Stray light analysis of an on-axis three-reflection space optical system

Doppler Weather Radars and Weather Decision Support for DP Vessels

TECHNICAL NOTE. Specifying Product Performance for Mesopic Applications

CLINICAL VISUAL OPTICS (OPTO 223) Weeks XII & XIII Dr Salwa Alsaleh

LUMINANCES AND VISION RELATED TO DAYLIGHTING

Published in: Proceeding of 9th SENVAR / 2nd ISESEE, Shah Alam, Malaysia, December 2008

Recommendations for Evaluating Parking Lot Luminaires

RISK FACTORS FOR FATAL GENERAL AVIATION ACCIDENTS IN DEGRADED VISUAL CONDITIONS

Photometric Report. 42 Partners Limited 21 Woden Road Wolverhampton WV10 0AU UK

POST-PROCESSING OF RADIANCE IMAGES: VIRTUAL LIGHTING LABORATORY

Adaptation to a 'spatial-frequency doubled' stimulus

Montréal, 7 to 18 July 2014

Characterizing a Solar Cell

9.4 Light: Wave or Particle?

Influence of Grounding Material s Property on the Impulse Grounding Resistance of Grounding Grids

An improved metric for luminance contrast using colour-modified clinical eye charts.

VISIBILITY UNDER ADVERSE WEATHER CONDITION IN AUTOMOTIVE LIGHTING

UNIVERSITY OF HONG KONG

Key objectives in Lighting design

Supplemental Information. Noise and Correlations. in Parallel Perceptual Decision Making. Thomas U. Otto and Pascal Mamassian

Creation and modification of a geological model Program: Stratigraphy

Sampling. Module II Chapter 3

Q1. (a) The diagram shows a car being driven at 14 rn/s. The driver has forgotten to clear a thick layer of snow from the roof.

Creation and modification of a geological model Program: Stratigraphy

An evaluation of different measures of color saturation

TABLE OF CONTENTS. Page BACKGROUND...1 METHOD...3 PROCEDURE...6 RESULTS...8 READING TIME EVALUATION...13 DISCUSSION...17 REFERENCES...

A Driving Simulation Based Study on the Effects of. Road Marking Luminance Contrast on Driving Safety. Yong Cao, Jyh-Hone Wang

Measuring Trees Activity

Is the Human Visual System Invariant to Translation and Scale?

and SUMMARY preliminary parameters. 1.1 MET/14-IP/ /15 In line 1.2 WORLD INTERNATIONAL CIVIL AVIATION ORGANIZATION 2/6/14 English only

TEACHER NOTES MATH NSPIRED

JNDs, adaptation, and ambient illumination

Supplementary Figure 1. Characterization of the single-photon quantum light source based on spontaneous parametric down-conversion (SPDC).

Analysis of methods proposed by International Standard ISO 2631 for evaluating the human exposure to whole body vibration

Connecticut Common Core Algebra 1 Curriculum. Professional Development Materials. Unit 8 Quadratic Functions

Introduction to atmospheric visibility estimation

E. K. A. ADVANCED PHYSICS LABORATORY PHYSICS 3081, 4051 FRAUNHOFER DIFFRACTION

The performance expectation above was developed using the following elements from the NRC document A Framework for K-12 Science Education:

Transcription:

International Conference on Mechatronics, Control and Electronic Engineering (MCE 2014) Predicting the Effects of Discomfort Glare on Visual Performance of Pilots during Nighttime Flying Yandan Lin*, Mengdi Dong, Yihong Liu, Weiqiao Yang, Feng Xiong Yaojie Sun Semiconductor Lighting Technology Research Center Shanghai, China Institute for Electric Light Sources; Engineering Research Center of Advanced Lighting Technology Ministry of Education Fudan University Shanghai, China *Corresponding Author: ydlin@fudan.edu.cn Abstract Glare is a threat to aviation safety, as it can changed the adaptation status and visual function of pilots during nighttime flying. The evaluation of discomfort glare has been hotly debated in the past decades. This article presents two experiments, with three visual task involved, i.e. reaction time, detection threshold and discrimination threshold, to inspect Lin-Liu model s predicting effect of discomfort glare pilots encountered during nighttime flying, and also to explore how the discomfort glare affect the visual performance of the pilots. The results were analysed using repeated-measures ANOVA. It was confirmed that glare has a significant influence on the pilots visual performance: under harsh luminous condition, visual performance got worse significantly. The evaluation result using Lin-Liu model, which expresses the perceived discomfort glare by means of deboer rating (R deboer), showed a regressive relationship between deboer rating and visual performance, which indicated a good prediction capability of Lin-Liu model in the influence of discomfort glare. Keywords-discomfort glare; nighttime flying; visual performance; reaction time; discrimination threshold size; I. INTRODUCTION During nighttime flying, the cockpit of an aircraft is typically dim and pilots are adapted to the dim ambient environment, therefore pilot s vision is easily affected by external variations. Intense glare is a common problem. When pilot was exposed at strong lights suddenly, the adaptation status and the visual function would be changed, which would limit a pilot s response time and greatly increasing the risk of accidents [1]. Glare can be classified as disability glare or discomfort glare. For disability glare, it has been fairly well defined based on the physiology of the human eye and the behavior of light as it enters the ocular media [2, 3]. On the other hand, discomfort glare is more about a psychological response, and it s more difficult to solve than issues with disability glare. The evaluation of discomfort glare was hotly debated in the past decades [4]. 2014. The authors - Published by Atlantis Press The deboer rating scale is the most widely adopted scale used to evaluate discomfort glare. It s a nine-point scale with adjectives near the odd numbers. A larger value on the deboer rating scale represents less perceived discomfort glare [5]. Based on the deboer rating scale, many models for discomfort glare have been developed [58]. Recently, a new model, Lin-Liu model, predicting discomfort glare caused by LED light source has been published [9], as shown in Eq. (1), which was also based on the deboer rating scale. L 2.21 g (1) RdeBoer 3.45 log10 1.02 1.62 Lb According to the Lin-Liu model, perceived discomfort glare expressed by means of a deboer rating (R deboer) is related to the average glare source luminance (Lg), the background luminance (Lb), the solid angle of the glare source from the perspective of the viewer (ω) and the angle between the glare source and the line of sight (θ). The aim of this article is to inspect Lin-Liu model s predicting effect of discomfort glare pilots encountered during nighttime flying, and also to explore how the discomfort glare affect the visual performance of the pilots. Pilots visual performance was characterized by three visual tasks, which were reaction time of detecting the target outside the cockpit, the detection and discrimination threshold size of the Landolt ring on the display screen. Discomfort glare varied glare source luminance, background luminance or solid angle of the glare source from the perspective of the viewer. II. EXPERIMENT 1: REACTION TIME A. Method An experiment was carried out to investigate the influence of discomfort glare on the reaction time of detecting the target outside the cockpit. The apparatus, shown in Fig.1, consisted of a cockpit model, an outside background projection screen and glare source. The apparatus was setup to simulate the scene that the pilot 490

encountering the discomfort glare from the lighting installation at the airport when landing, and the whole apparatus was put in a dark room which ca avoid interference of other light outside. Figure 1. The apparatus used to measuring the reaction time (1. display screen, 2.operation panel, 3. projection screen, 4. glare source, 5. sight fixing point, 6.task target, 7. chin rest, 8. keyboard.) The cockpit model was made according to the real condition with the proportion of 1:1, in which participants sat and reacted. In front of the cockpit model, a big projection screen was set to mimic the background environment outside of the cockpit, with a distance of 4m to the participants. At the middle bottom of the screen, there was a red cross mark, used for fixing participants sight to avoid them looking straight at the glare source, which might result in directly influence on visual function. The glare source used in the experiment was a LED module with the nominal power of 23W. It was hung in the upper left corner of the projection screen and the observing angle was 10 which was in accordance with the real situation. A computer software was independently programmed to estimate and record the reaction time. The observing target was generated by the computer software, and it was a black dot with a size of 12.9 minute of arc and eccentric angle of 2. The target was projected on the projection screen, mimicking the obstacle outside the cockpit. During the experiment, participants were asked to press the button on the wireless keyboard after he/she perceiving the target appears as soon as possible. The reaction time of each hit was recorded. Before the target appearing, there is a sound signal to draw the observers attention to look at the sight fixation. The parameter setup in detail is shown in Table I. Three parameters related to the glare rating were selected as variables. With different combinations of the three variables, there were 12 lighting conditions for test in total. TABLE I. PARAMETERS SETUP IN THE RESEARCH ON THE EFFECT OF GLARE ON REACTION TIME Constants Adaptation time(min) 20 CCT of glare source(k) 6500 Glare source angle(θ: ) 10 Observing distance(m) 4 Observing way Binocular Eccentric angle( ) 2 Size of the target(min of arc) 12.9 Glare source luminance(l g : 800 /8000/80000 Background luminance(l Variables b : 1/8 The solid angle of the glare 0.8x10-5 / source(ω: sr) 3.1x10-5 10 test participants were recruited from staff and students of Fudan University: 4 were female and 6 were male, and of approximate mean age 22 years. All test participants had normal (or corrected to normal) visual acuity as tested using a Snellen E chart. Normal colour vision was confirmed using the Ishihara Pseudoisochromatic Plates. At the start of each test session, 20 minutes was allowed for adaptation to the low light level. Each observer was informed the whole procedure of the experiment and asked to complete practices with the testing software before the formal tests to avoid the practice effect. Then, a lighting condition was setup, following which the participants complete one trial and the testing software recorded the reaction times. Prior to next lighting condition, there was a period of resting time to avoid visual fatigue. The presentation order of the lighting conditions was randomized. Every participant carried out 12 trials. The whole experiment was made up of adaptation stage, 491

measurement stage and resting, taking about 60 minutes in total. B. Results Fig.2 shows the mean reaction time of the 10 participants, for 12 lighting conditions. In Fig.2, horizontal coordinate is the glare source luminance and vertical coordinate is the mean reaction time of the 10 participants. III. EXPERIMENT 2: DETECTION AND DISCRIMINATION A. Method Experiment 1 used reaction time of detecting the target outside the cockpit to characterize the visual performance. In experiment 2, the detection and discrimination threshold size of the Landolt C on the display screen was involved. The apparatus in experiment 2 was the same with that in experiment 1. The glare source was still the LED module with an observing angle of 10. In experiment 2, the solid angle of glare source and background luminance were set as constant, different with that in experiment 1. The Landolt C was used as target for the detection and discrimination task, and it was displays on a LCD display screen (marked with No. 1 in Fig.1), with a distance of 0.7m to participants eyes. The size of Landolt C could increase or decrease gradually, and participants were asked to detect the Landolt C and the discriminate the direction of the Landolt C. The detection threshold size and discrimination threshold size were recorded. The parameter setup in detail is shown in Table II. Glare source luminance and target (Landolt C) luminance were selected as variables. With different combinations of the three variables, there were 25 lighting conditions for test in total. TABLE II. PARAMETERS SETUP IN THE RESEARCH ON THE EFFECT OF GLARE ON DETECTION AND DISCRIMINATION THRESHOLD SIZE. Figure 2. Results of experiment 1: Reaction time. Mean reaction time plotted against the glare luminance for two background luminance and two solid angle of the glare source. (A: background luminance 1cd/m 2 ; B: background luminance 8 For the low background luminance (1, the data exhibits a similar trends: mean reaction time increases at higher glare luminance, and mean reaction time for the bigger solid angle is longer than that for the smaller solid angle. While, for the higher background luminance (8, there s no obvious trend between mean reaction time and glare luminance for both solid angle. Statistical analyses of these results were carried out with the reaction time of the 10 participants using repeated-measures ANOVA. The analysis result demonstrated that, for the 1 cd/m2 background luminance, the effects of glare source luminance (F=3.403, P=0.034<0.05) and solid angle (F=5.161, P=0.023<0.05) were significant, while, for the 8 cd/m2 background luminance, the effects of glare source luminance and solid angle were not suggested to be significant. As to the effect of background luminance, the repeated-measures ANOVA suggests this is significant (F=192.739, P<0.05), for both two solid angle, with higher background luminance leading to a shorter mean reaction time. Constants Adaptation time(min) 20 CCT of glare source(k) 6500 Glare source angle(θ: ) 10 The solid angle of the glare source(ω: sr) Observing way 3.1 x10-5 Binocular Background 0.1 luminance(l b : Glare source 1000/5000/10000 luminance(l Variables g : /50000/80000 Target luminance (L t : 1/3/5/7/9 10 test participants were recruited from staff and students of Fudan University: 4 were female and 6 were male, and of approximate mean age 22 years. These participants also took part in the Experiment 1. At the start of each test session, 20 minutes was allowed for adaptation to the low light level. Each observer was informed the whole procedure of the experiment and asked to complete practices with the testing software before the formal tests to avoid the practice effect. Then, a lighting condition was setup, following which the participants were asked to press a button on the keyboard, until he/she could or could not detect the Landolt C/discriminate the direction of Landolt C. The presentation order of the lighting conditions was randomized. Every participant carried out 25 trials. 492

B. Results Fig.3 shows the mean detection threshold size and mean discrimination threshold size of the 10 participants, for 25 lighting conditions. detecting the target outside the cockpit and the detection and discrimination threshold size of the Landolt ring on the display screen. With higher glare luminance, lower background luminance or larger solid angle of the glare source, visual performance got worse significantly. In order to predict the effect of discomfort glare, we use Lin- Liu model to evaluate the discomfort glare in these two experiments. A. Experiment 1: Reaction time The results of experiment 1 show that the mean reaction time for the low background luminance (1 increases at harsh luminous conditions, while for the higher background luminance (8, this trend is not so obvious. The data for the lower background luminance (1 is evaluated by Lin-Liu model, expressed by means of deboer rating (Fig.4). According to the definition of deboer rating, it s a nine point scale where 1 represents Unbearable glare, 3 is Disturbing, 5 is Just Admissible, 7 is Satisfactory and 9 is Unnoticeable. Calculation with Lin-Liu model shows that mean reaction time increases with deboer rating decreases, and this is predictable, as the higher deboer rating means a better lighting condition, resulting in faster reaction and shorter reaction time. The relationship between deboer rating and reaction time is fitted by linear function. The result of Linear Fitting suggests a regressive relationship between reaction time and deboer rating. The result indicates a good prediction of Lin-Liu model on the influence of glare on reaction time. Figure 3. Results of experiment 2: Detection/Discrimination threshold size. Mean threshold size plotted against the glare luminance for five target luminance. The trends exhibited by detection threshold size is similar to those by discrimination threshold size: higher target luminance lead to lower threshold size. The threshold size of discrimination task is much larger than that of detection task. It s expectable as the difficulty of discrimination is much harder than detection. For both detection and discrimination, the threshold size of 1cd/m 2 target luminance is clearly larger than that of other four target luminance, and the difference decreases as the target luminance increase. As to the influence of glare luminance, the detection and discrimination threshold size increase with glare luminance, and there is a plateau region where the glare luminance is larger than 50000cd/m 2. As with experiment 1, statistical analyses were carried out for the threshold size of the 10 participants using the repeated-measures ANOVA. This suggests that effects of glare luminance are significant for detection (F=5.069, p<0.001) and discrimination (F=4.489, p=0.001) task. The effects of target luminance are also significant for detection (F=96.090, p<0.001) and discrimination (F=67.496, p<0.001) task. IV. DISCUSSION The results (Fig.2 and Fig.3) indicate that glare affects the visual performance, both for the reaction time of Figure 4. Relationship between reaction time and deboer rating evaluated by Lin-Liu model (background luminance 1. B. Experiment 2: Detection and Discrimination In experiment 2, glare source luminance is the only variable of glare condition, and the results suggest that higher target luminance lead to larger threshold size, both for the detection and discrimination. Same as experiment 1, the data of experiment is evaluated by Lin-Liu model (Fig.5). The evaluation result using Lin-Liu model also shows a linear regressive relationship between threshold size and deboer rating, both for detection and discrimination, which exhibits a similar trend as that in Fig.5. According to the results, R 2 of Linear Fitting is larger than 0.9 for most trial, 493

and Linear Fitting suggests a good prediction ability of Lin-Liu model on the experiment result. evaluated using a Lin-Liu model, which expresses the perceived discomfort glare by means of deboer rating (R deboer ). The analysis using data from reaction time task, detection and discrimination task indicates a good prediction capability of Lin-liu model in the influence of glare on visual performance: lower R deboer, corresponding a harsher luminous condition, resulting in worse visual performance. ACKNOWLEDGEMENT This work was carried out as part of the National Basic Research Program of China (973) (Project NO. 2010CB734102) and project funded by Ministry of Science and Technology of China (Project No. 2011BAE34B01) Figure 5. Relationship between threshold size (for different target luminance) and deboer rating evaluated by Lin-Liu model V. CONCLUSION This article reports investigation of influence of glare on pilots visual performance during nighttime flying, using three visual tasks: reaction time detecting the target outside the cockpit, the detection and discrimination threshold size of the Landolt ring on the display screen. The results indicate the significant influence of glare on the pilots visual performance. With higher glare luminance, lower background luminance or larger solid angle of the glare source, visual performance got worse significantly. The influence of discomfort glare was REFERENCES [1] B. Yang, Y. Lin, and Y. Sun, Transient effects of harsh luminous conditions on the visual performance of aviators in a civil aircraft cockpit. Applied Ergonomics, vol 44, 2013, pp185-191. [2] W. S. Stiles, Discussion on disability glare presented at the CIE meeting, Scheveningen, The Hague, 1939. [3] J. J. Vos, On the cause of disability glare and its dependence on glare angle, age and ocular pigmentation, Clin. Exp. Optom, vol. 86, 2003, pp363 370. [4] D. Fisher, Discomfort glare in interiors presented at the First International Symposium on Glare, Orlando, Florida, New York, 24 25 Oct. 1991. [5] J. B. deboer, D. A. Schreuder, Glare as a criterion for quality in street lighting, Trans.Illum.Eng.Soc, vol 32, 1967, pp117 135. [6] H. J. Schmidt-Clausen, J. T. H. Bindels, Assessment of discomfort glare in motor vehicle lighting, Lighting Res. Tech, vol 6, 1974, pp79 88. [7] J. D. Bullough, J. A. Brons, R. Qi, and M. S. Rea, Predicting discomfort glare from outdoor lighting installations, Lighting Res. Tech, vol 40, 2008, pp225 242. [8] J. D. Bullough, K. Sweater-Hickcox, and N. Narendran, A method for estimating discomfort glare from exterior lighting system, Alliance for Solid-State Illumination Systems and Technologies 9, 2011, pp1-7. [9] Y. Lin, Y. Liu, and Y. Sun, Model predicting discomfort glare caused by LED road lights, Optics express, vol 22, DOI:10.1364/OE.22.018056. [10] Y. Liu, Investigation of the effects of discomfort glare on visual performance of pilots during nighttime flying, Fudan University, 2007. 494