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

Similar documents
When is sign lighting needed? How much is needed?

H. T. Zwahlen, A. Russ, and T. Schnell 1

Standard Highway Sign Border Specifications

A conventional approach to nighttime visibility in adverse weather conditions

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

A Nighttime Visibility Meter for Secondary Roads

Evaluation of Sign Retroreflectivity Measurements from the VISUAL Inspection Signs and Panels (VISUALISE) System

MODELING PERIPHERAL VISIBILITY UNDER HEADLAMP ILLUMINATION

AN INVESTIGATION INTO MEASURING THE CONTINUOUS WETTING RETROREFLECTIVITY VALUES OF PAVEMENT MARKINGS. A Thesis Proposal ADAM MATTHEW PIKE

TECHNICAL NOTE. Specifying Product Performance for Mesopic Applications

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

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

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

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

Contrast Sensitivity

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

AN INVESTIGATION INTO THE PREDICTIVE PERFORMANCE OF PAVEMENT MARKING RETROREFLECTIVITY MEASURED UNDER VARIOUS CONDITIONS OF CONTINUOUS WETTING

Evaluation of fog-detection and advisory-speed system

Solar Powered Illuminated RPMs

Velocity Thresholds in Car-Following at Night

The Control of Glare by the AS1680 Systems

Uncertainty in the Yellow Change Interval

FINAL CONTRACT REPORT WET NIGHT VISIBILITY OF PAVEMENT MARKINGS: EXECUTIVE SUMMARY. Ronald B. Gibbons, Ph.D. Jonathan Hankey, Ph.D.

Minimum Retroreflectivity Levels for Blue and Brown Traffic Signs

Photometric measurements for visibility level computations

Effect of Environmental Factors on Free-Flow Speed

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

FEDERAL RESOLUTION PROPOSAL INTRODUCTION FORM

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

PAPER EVALUATION OF TRUNCATED ARROW-PER-LANE GUIDE SIGNS. WORD COUNT (5840): Abstract (248) + Text (4092) + Tables (5) + Figures (1) Authors:

VISIBILITY SENSOR ACCURACY: WHAT S REALISTIC? John D. Crosby* EnviroTech Sensors, Inc. Clarksville, Maryland

ROAD DUST SUPPRESSSANTS RESEARCH RESULTS

PHOTOMETRIC EVALUATION OF STEADY-BURN WARNING LIGHTS IN WORK ZONES

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

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

Quality Pavement Markings

Evaluation of Reflectorized Sign Sheeting for Nonilluminated Freeway Overhead Guide Signs

IALA Recommendation E On Marine Signal Lights Part 2 - Calculation, Definition and Notation of Luminous Range. Edition 1 December 2008

Safe Transportation Research & Education Center UC Berkeley

DAYLIGHT, TWILIGHT, AND NIGHT VARIATION IN ROAD ENVIRONMENT-RELATED FREEWAY TRAFFIC CRASHES IN KOREA

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

AN AUTOMATED GONIOPHOTOMETER FOR LUMINAIRE CHARACTERIZATION

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

Lesson 2. Visual Performance 2-1

Re-Establishing a Brand

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

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

Derivation of the Yellow Change Interval Formula

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

Lab NotesIssue. Disability Glare in the Outdoor Workplace

A Driver Interface for a Road Hazard Warning System: Development and Preliminary Evaluation

Evaluating the Potential of Remote Sensing Rural Road and Travel Conditions

Responsive Traffic Management Through Short-Term Weather and Collision Prediction

THE INFLUENCE OF LENS HAZE ON HEADLAMP BEAM PATTERNS

Driving at night. Harris Driving school. Harris Driving School

Applied Research on Tunnel Lighting: Current Development in Japan

General Physics (PHY 2130)

Area Classification of Surrounding Parking Facility Based on Land Use Functionality

Highway and Transportation Research Council

AKTIVE SICHERHEIT 4.0. Prof. K. Kompass, Dr. S. Nitsche April 2017

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

April 10, Mr. Curt Van De Walle, City Manager City of Castle Hills 209 Lemonwood Drive Castle Hills, Texas 78213

Measurement method for the proficiency testing program

A Thesis Proposal. Agrawal, Ravi. Submitted to the Office of Graduate Studies of Texas A&M University

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

EXAMINATION OF THE SAFETY IMPACTS OF VARYING FOG DENSITIES: A CASE STUDY OF I-77 IN VIRGINIA

Incorporating the Effects of Traffic Signal Progression Into the Proposed Incremental Queue Accumulation (IQA) Method

EFFECTS OF WEATHER-CONTROLLED VARIABLE MESSAGE SIGNING IN FINLAND CASE HIGHWAY 1 (E18)

Interactive Chalkboard

Photobiological Safety of Luminaires: Refining the New Approach

Scientific Literacy & the Scientific Method

GIS APPLICATIONS IN SOIL SURVEY UPDATES

Fallacies and Myths of Retro-Reflectivity Standards and Its Implications to High-Visibility Safety Clothing

FY 2010 Continuing i Planning Program Product Report. Local Transportation and Traffic Data. Wood-Washington-Wirt Interstate Planning Commission

The logistic function

Vision & Perception. Simple model: simple reflectance/illumination model. image: x(n 1,n 2 )=i(n 1,n 2 )r(n 1,n 2 ) 0 < r(n 1,n 2 ) < 1

Introducing GIS analysis

An Experimental Approach to a Definition of the Mesopic Adaptation Field

Effects of Climate and Location on Traffic Signs Deterioration: A LiDAR-Based Study in Utah

Introduction to Fluid Mechanics - Su First experiment: Flow through a Venturi

Effectiveness of Experimental Transverse- Bar Pavement Marking as Speed-Reduction Treatment on Freeway Curves

Lesson 8: Velocity. Displacement & Time

ADDRESSING TITLE VI AND ENVIRONMENTAL JUSTICE IN LONG-RANGE TRANSPORTATION PLANS

Improvement Uncertainty of Total luminous Flux Measurements by Determining Some Correction Factors

Introduction to Statistics for Traffic Crash Reconstruction

PRACTICAL UNCERTAINTY BUDGETS FOR SPECTRAL MEASUREMENTS OF LEDS

AN INSTRUMENT FOR THE MEASUREMENT OF ROAD SURFACE REFLECTION PROPERTIES

O*NET Analyst Occupational Abilities Ratings: Analysis Cycle 7 Results

A FIELD EXPERIMENT ON THE ACCURACY OF VISUAL ASSESSMENT OF WINTER ROAD CONDITIONS

Superseded. REGULATORY R-047 (Revised/08) - Use Winter Tires or Carry Chains Beyond This Point October 1 April 30

Mathematics Kindergarten

Puerto Rico Transportation Asset Management Plan

Economic and Social Council

MODELING OF 85 TH PERCENTILE SPEED FOR RURAL HIGHWAYS FOR ENHANCED TRAFFIC SAFETY ANNUAL REPORT FOR FY 2009 (ODOT SPR ITEM No.

Chapter 1, section 2. Measurement. Note: It will probably take 2-3 class periods to get through this entire presentation.

2/23/ WIND PRESSURE FORMULA 2. PERCENT OF ALLOWABLE STRESS 3. FATIGUE DESIGN

CE351 Transportation Systems: Planning and Design

Introduction to atmospheric visibility estimation

AIR FORCE INSTITUTE OF TECHNOLOGY

ATINER's Conference Paper Series PHY

Transcription:

DRAFT MANUSCRIPT Title: Legibility of Text on Traffic Signs as a Function of Luminance and Size Helmut T. Zwahlen, Shaolin Xiong Ohio Research Institute for Transportation and the Environment 114 Stocker Engineering and Technology Center Ohio University Athens, OH 45701-2979 Phone (740) 597-1790 or (740) 593-2476 Fax (740) 593-0625 Email zwahlen@ohio.edu Prepared for Presentation at the 80th Annual Meeting - January 7-11, 2001 of the Transportation Research Board National Academy of Sciences Washington, DC July 2000 Number of words: 5544 Number of tables: 2 Number of figures: 5 Total number of words counting tables and figures as 250 words each: 7294

Helmut T. Zwahlen, Shaolin Xiong 2 of 15 ABSTRACT This study investigates on a quantitative basis two strategies that can be used to increase the legibility distance of retroreflective traffic signs with negative luminance contrast legend or symbols at night. The first strategy involves the increase of the letter, numeral, or symbol size associated with a corresponding increase in the stroke width (representing the visual detail) and with an increase in the traffic sign area. The second strategy involves the increase of the traffic sign background luminance. The study also investigates the increase in the legibility distance when the sign legend/symbol size and the sign background luminance are simultaneously increased together. Further improvement of traffic sign legibility is needed to meet the needs of drivers with degraded visual capabilities, such as elderly drivers. A computer model has been developed to determine the legibility distance of a negative luminance contrast traffic sign with a dark legend on a bright background at night as a function of letter height (or stroke-width), sign background luminance, driver s age and other factors. Looking at the legibility distance results based upon a negative luminance contrast traffic sign with a letter height to stroke-width ratio of 5 and an observer 50 years of age, the legibility distance increases by 13.2% (from 91.04 m to 103.08 m) if the background luminance is doubled (from 50 cd/m 2 to 100 cd/m 2 ). Doubling the letter height (from 17.78 cm to 35.56 cm) or doubling the associated stroke-width results in an increase of roughly 100% (from 91.04 m to 182.09 m) in the legibility distance. Doubling both simultaneously, the background luminance (from 50 cd/m 2 to 100 cd/m 2 ) and the letter height (from 17.78 cm to 35.56 cm), yields an increase of 126.5% (from 91.04 m to 206.20 m) in the legibility distance. Doubling the corresponding sign area results in an increase of 41.6% (from 91.04 m to 128.87 m) in the legibility distance. Doubling both simultaneously, the background luminance (from 50 cd/m 2 to 100 cd/m 2 ) and the corresponding sign area, yields an increase of 60.2% (from 91.04 m to 145.82 m) in the legibility distance. For a given set of constraints, such as costs for sheeting materials of different retroreflectivity, costs for sign substrates, sign posts and/or supports for different sign sizes, etc, the user may determine with the help of the results of this study which strategy (sign size increase or background luminance increase) or which mix of the two strategies provides the most cost-efficient approach to increase the legibility distance. Keywords: Sign Legibility, Legibility Distance, Sign Background Luminance, Sign Size, Retroreflectivity

Helmut T. Zwahlen, Shaolin Xiong 3 of 15 INTRODUCTION During the last few decades a change in the demography of the United States is ongoing: the fraction of the elderly people in relation to the fraction of the young people is growing rapidly. As the automobile remains the primary means of transportation for elderly people, more and more elderly drivers are using the roads, compared to the overall motoring public. Elderly people commonly experience diminished visual and cognitive capabilities and therefore have a disadvantage reading traffic signs at night. As people grow older, visual acuity, depth perception, glare tolerance and light/dark adaptation decrease steadily, making nighttime driving difficult. Slower reactions, hearing defects and reduced flexibility for looking from side to side may further impair driving ability. Elderly drivers also often have trouble processing an overload of information from traffic signs and signals. The Manual of Uniform Traffic Control Devices for Streets and Highways (MUTCD) [1] describes the principles and practices for the design and use of signs, signals, and pavement markings for all streets and highways in the United States. This study suggests that some elements and standards in today s MUTCD pertaining to traffic sign legibility may not adequately meet the needs of today and the future. Realizing the need for further improvement in traffic sign legibility in order to meet the needs of drivers with degraded visual capabilities, such as elderly drivers, several properties of traffic signs may be redesigned to provide longer legibility distances. APPROACH Objectives This study investigates on a quantitative basis two strategies that can be used to increase the legibility distance of retroreflective traffic signs with negative luminance contrast legend or symbols at night. The first strategy involves the increase of the letter, numeral, or symbol size associated with a corresponding increase in the stroke width (representing the visual detail) and with an increase in the traffic sign area. The second strategy involves the increase of the traffic sign background luminance. The study also investigates the increase in the legibility distance when the sign legend/symbol size and the sign background luminance are simultaneously increased together. This is done by using a computer model developed to investigate the legibility distances of traffic signs with negative luminance contrast (dark legend or symbol on bright background) under nighttime driving conditions as a function of the sign background luminance, the sign luminance contrast, the visual detail size (stroke-width), the probability level at which a driver is capable of discriminating the visual detail size, the driver s age and the exposure time. As primary input to the computer model, data obtained by Blackwell in his Series II experiments [2] is used exhibiting the fundamental relationships between the 50 percent luminance contrast threshold, the background luminance, and the target size. To account for the difference between traffic sign legibility in the field and contrast threshold of inlaboratory target detection, contrast multipliers for several relevant factors have been introduced into the computer model with the assumption of independence and multiplicativity of those factors. Assumptions for Using the Computer Model Atmospheric transmissitivity losses are relatively small for a few hundred meters and are considered to have little effect upon the illumination returned to the driver s eyes. Therefore, atmospheric transmissitivity is set to one. The duration of time for sign perception and recognition is not considered here. The computer model uses an exposure time that is long enough for the driver to discriminate the legend or symbol on a traffic sign, but is not long enough for the driver to finish the legend/symbol recognition in most cases. A study [3] indicates that the time required to read a sign message with N words is approximately T [seconds] = 1.94 + 0.31N. Legibility seems to be somewhat less affected by glare than conspicuity [4], unless the glare angle is very small or the glare source is very bright. Therefore, the effects of glare are not considered. Visual complexity of the ambient traffic sign background has been found to be a significant factor in sign detection but has no significant effect on sign legibility [5]. Thus, the visual complexity of the ambient traffic sign background will not be taken into consideration here.

Helmut T. Zwahlen, Shaolin Xiong 4 of 15 The required luminance contrast threshold for traffic sign legibility is dependent upon many factors besides the legend/symbol size and the sign luminance, such as the driver s age, the exposure time, etc. All the factors besides legend/symbol size and sign luminance have independent and multiplicative effects [6]. That is, the ratio of the required luminance contrast threshold C for traffic sign legibility and the 50 percent Blackwell luminance contrast threshold C th equals the product of appropriate contrast multipliers. Since there are five contrast multipliers considered here C = C th M 1 M 2 M 3 M 4 M 5 Equation 1 where C th is the 50 percent Blackwell luminance contrast threshold, M 1 the threshold percentage factor, M 2 the field factor, M 3 the detection-of-presence versus discrimination-of-detail factor, M 4 the age factor, and M 5 the exposure time factor. Threshold Percentage Factor (M 1 ) Since Blackwell s luminance contrast thresholds are based upon 50 percent probability of detection, they must be adjusted for other selected probabilities of detection. The following relationship has been established, based upon the psychometric curve given by Blackwell [2]. M 1 = 1 + 0.48 Z α where α = Φ(Z α ) the threshold percentage and Φ the area under the standard normal distribution curve. Field Factor (M 2 ) The conditions under which Blackwell obtained the 50 percent contrast threshold data were favorable laboratory conditions. The observers were well trained and highly skilled using a forced-choice method. In order to take into account out-of-laboratory conditions where the subjects are facing a higher visual and mental workload, a field factor has been introduced. Applying the laboratory data to practical problems shows that the field factor ranges between 1.5 and 8, according to Blackwell [7]. In this study, a field factor of M 2 = 2.4 is used. Detection-of-Presence versus Discrimination-of-Detail Factor (M 3 ) Blackwell s data is based upon the detection of the presence of a circular target. The question now arising is how to apply Blackwell s data for discriminating visual details of a traffic sign legend or symbol. In order to answer this question Guth and McNelis [8, 9] conducted two studies, using Landolt Rings and parallel bars in the first, and upper-case letters in the second study. An average detection-of-presence versus discrimination-of-detail factor over both studies of M 3 = 0.518 is used here. Age Factor (M 4 ) If a given sign under given conditions can be read by a young driver at a certain luminance contrast threshold, what is the luminance contrast threshold at which the sign can be read by a driver of a certain different age under the same conditions? The data used to develop an analytical relationship for relatively high luminance values (> 10 cd/m 2 ) between the contrast multiplier and the observer s age was taken from [10, 11, 12]. The formula used is M 4 = 1.5159 7.6814e-2 Age + 3.8632e-3 Age 2 7.7746e-4 Age 3 + 6.066e-7 Age 4. Exposure Time Factor (M 5 ) Exposure time duration of the test stimulus affects the luminance contrast threshold necessary to detect the test stimulus. The shorter the exposure time, the higher the required luminance contrast threshold. In order to establish an analytical relationship, Blackwell s data [13] has been used and fitted by three functions for [T] = seconds the exposure time as follows: 2 3 4 1.074 + 0.5678 Log( T) + 3.8646 Log( T) + 4.0336 Log( T) + 2.0728 Log( T ), 2 Log( T ) < 0.5 2 3 4 M 5 = 1.074 0.2778 Log( T ) + 0.4526 Log( T ) 0.3455 Log( T ) + 0.0972 Log( T ), 0.5 Log( T) 1 1, Log( T ) > 1 Zwahlen [14] reports that a driver spends between 0.5 s and 0.6 s looking at a warning sign during one eye fixation. Therefore T and M 5 can be assumed to be 0.55 s and 1.1831, respectively.

Helmut T. Zwahlen, Shaolin Xiong 5 of 15 Algorithm When all contrast multipliers in Equation 1 are known and either C or C th is given, the other can be determined by solving Equation 1. The relationship between the 50 percent luminance contrast threshold C th, the subtended visual angular target size (more often referred to as the visual angle) and the background luminance is exhibited by Blackwell s contrast threshold data [2]. Given any two of the three variables, the third one can be determined. Before using the Series II Blackwell contrast threshold data (for negative contrast conditions) in a computer model, the data needs smoothing. This has been done with respect to Weber-Fechner s law C = const α where C is the luminance contrast threshold, and α the subtended visual angular target size in minutes of arc; and with respect to Ricco s law 2 C α = K α 0 LogC = Log K 2 Logα where K is a constant as a function of the background luminance. In order to compute an output value for any non-discrete input value an interpolation algorithm has been implemented. A two-dimensional non-linear interpolation has been used with the background luminance ranging from 10-2 to 10 3.5 cd/m 2 and the visual angle ranging from 0.2 to 1000 minutes of arc. The interpolation algorithm satisfies the requirement that the relative error should be less than 5 percent over all background luminance levels. Traffic Sign Legibility Examination Program (TSLEP) The described algorithm has been implemented into the Traffic Sign Legibility Examination Program. This program lets the user choose a dependent variable (V D ), an independent variable (V I ), and an auxiliary variable (V A ). Possible selections for the dependent variable are Sign contrast, Visual angle, and Seeing distance. Depending on what dependent variable has been chosen, TSLEP offers the following selections for the independent and the auxiliary variable: Sign contrast, Visual angle, Driver s age, Threshold percentage, and Sign luminance. For each possible combination of V D, V I and V A (36 combinations in total), a graph and a table V D (V I ) for up to five different constant values of V A can be output by TSLEP. The program provides output graphs and tables using the English system of measurement only. RESULTS α 0 Legibility Indices of the Standard Letter Series for Selected Driver Ages at Night The average human visual system has a visual acuity of 20/20. Visual acuity is designated as 20/20 if a visual detail of 1 minute of arc in angular size can be resolved; if a visual detail as narrow as 0.5 minute of arc in angular size can be resolved, visual acuity is 20/10. A visual acuity of 20/20 is considered normal although better acuity (20/15 or 20/10) is quite common. Having made these definitions it follows from geometric relations that an observer with a normal visual acuity of 20/20 is able to discriminate a letter with a stroke-width of 2.54 cm (1 in) at a distance of 87.32 m (286.48 ft). Here, the stroke-width corresponds to the visual detail size. Alphabet styles used on standard traffic signs are specified in the Standard Alphabets for Highway Signs and Pavement Markings [15] and are denoted as letter series B through F, including an additional letter series E(m), E modified. Letter series B is narrowest and letter series E(m) is widest. All standard letter series are proportionally spaced. In order to describe the relative legibility of different letter styles a legibility index is commonly used. The legibility index is the ratio of the legibility distance based upon a visual acuity of 20/20, and the letter height. It indicates the number of meters (feet) of legibility per cm (in) of letter height for a certain letter series with a certain letter height to stroke-width ratio. Assuming a stroke-width of 2.54 cm (1 in) as in the example before and a letter height to stroke-width ratio of 5, the legibility index of such a letter (for an observer with a visual acuity of 20/20) is 6.88 m/cm (57.3 ft/in), since 87.32 m / (5 2.54 cm) = 6.88 m/cm. It has been found using TSLEP that the traffic sign background luminance must be 87 cd/m 2 for a traffic sign with a negative legend-to-background luminance contrast of close to one (absolute value) to provide young drivers at night with a legibility index of 6.88 m/cm (57.3 ft/in), given a letter height to stroke-width ratio of H/SW = 5, a threshold percentage of P = 95 % and an exposure time of ET = 0.55 s. Using a

Helmut T. Zwahlen, Shaolin Xiong 6 of 15 threshold percentage of P = 95% means that 95% of the population can in fact visually resolve the strokewidth. The legibility indices as calculated with TSLEP for the different letter series and for selected observer ages are shown in Table 1. This table indicates that, under the same viewing conditions, the legibility indices for drivers of 70 years of age are almost half of those for young drivers and that the legibility indices for drivers of 80 years of age are almost one-third of those for young drivers. Historically in the past, a legibility index of 6 m/cm (50 ft/in) has become a well-established, though arbitrary, requirement. Table 1 suggests that only letter series E, F and E(m) are satisfactory (legibility index > 6 m/cm or 50 ft/in respectively) for young drivers under nighttime driving conditions when a legibility index of 6 m/cm (50 ft/in) is required. It can further be concluded that no letter series can provide a legibility index of 6 m/cm (50 ft/in) for older drivers (> 50 years of age) at night. Legibility Improvement by Increasing the Traffic Sign Luminance Level Realizing that none of the standard alphabet styles can provide older drivers (> 50 years of age) with the needed legibility index of 6 m/cm (50 ft/in) under the given conditions at night, one strategy to improve the legibility index and to increase the legibility distance is to increase the traffic sign background luminance. Figure 1 is an example of graphical TSLEP output, showing the legibility indices for the letter series E(m) in ft/in for selected driver ages at night as a function of the sign background luminance. The dependent variable D(ft) directly represents the legibility index in ft/in since the letter height has been set to 2.54 cm (1 in). Since letter series E(m) with a letter height to stroke-width ratio of H/SW = 5 has been used the visual detail size (or stroke-width) is 0.508 cm (0.2 in), denoted as T.D.Size by TSLEP. The threshold percentage and the exposure time are set to 95% and 0.55 s respectively, and the negative legend-tobackground luminance contrast is assumed to be close to one (absolute value). Figure 1 indicates that the legibility distance increases for all selected driver ages as the sign luminance increases. For sign luminace values above 10 cd/m 2 the legibility distances for the selected driver ages are almost linear with the sign luminance. If the sign luminance level is about 40 cd/m 2, a 20 year old driver achieves a legibility index of 6 m/cm (50 ft/in) for the letter series E(m). When the sign luminance level increases to about 120 cd/m 2, a 50 year old driver achieves the same legibility distance of 6 m/cm (50 ft/in); a 60 year old driver can do so when the luminance level increases to about 370 cd/m 2. However, it seems impossible for very old drivers (of age 70 and older) to achieve a legibility index of 6 m/cm (50 ft/in) for any reasonable sign luminance, when the legibility is not improved by any other means (e. g. by increasing the sign size). Furthermore, increasing the sign luminance to a very high level, e. g. by using microprismatic sheeting materials, increases the danger of halation or irradiation that have a detrimental effect on the legibility distance and are not well understood yet. Legibility Improvement by Increasing the Traffic Sign Legend/Symbol Size and the Traffic Sign Luminance Level Since increasing only the sign background luminance has turned out not to be satisfactory with regard to the desired legibility index of 6 m/cm (50 ft/in) for all driver ages, a second strategy to improve the sign legibility involves increasing the sign size. Combining the two strategies, i. e. increasing the sign luminance and the sign size simultaneously together, yields a third strategy. However, one needs to find out which of the three strategies is the most effective one to improve the legibility of traffic signs. Table 2 shows how the legibility distances as calculated by TSLEP of a negative contrast traffic sign (letter series E(m) literals of an initial letter height of 17.78 cm (7 in) and an initial stroke-width of 3.56 cm (1.4 in)) for a 50 year old driver increase, when several selected strategies are applied. For example, it is found that the legibility distance increases by 13.2% (from 91.04 m to 103.08 m) if the background luminance is doubled (from 50 cd/m 2 to 100 cd/m 2 ). Doubling the letter height (from 17.78 cm to 35.56 cm) or doubling the associated stroke-width results in an increase of roughly 100% (from 91.04 m to 182.09 m) in the legibility distance. Doubling both simultaneously, the background luminance (from 50 cd/m 2 to 100 cd/m 2 ) and the letter height (from 17.78 cm to 35.56 cm), yields an increase of 126.5% (from 91.04 m to 206.20 m) in the legibility distance. Doubling the corresponding sign area results in an increase of 41.6% (from 91.04 m to 128.87 m) in the legibility distance. Doubling both simultaneously, the background luminance (from 50 cd/m 2 to 100 cd/m 2 ) and the corresponding sign area, yields an increase of 60.2% (from 91.04 m to 145.82 m) in the legibility distance. Note that doubling the letter height means a four-fold increase in the traffic sign area. In this example, the sign luminance contrast is assumed to be close to one (absolute value), the threshold percentage and the exposure time are set to 95% and 0.55 s,

Helmut T. Zwahlen, Shaolin Xiong 7 of 15 respectively. The data provided in Table 2 is displayed in Figure 2. If the legibility of a traffic sign needs to be improved, increasing the letter height of the sign legend (or increasing the corresponding sign area) appears to be more effective than increasing the sign luminance. However, it is imperative to bear in mind the costs and to consider any physical limitations of either strategy when making a judgement on the effectiveness. Impact of the Threshold Percentage Parameter on the Legibility Index Figure 3 shows the legibility indices in ft/in for the letter series E(m) and a 20 year old observer for selected sign background luminance levels at night as a function of the threshold percentage. It illustrates how the threshold percentage parameter, otherwise set to 95% throughout all examples in this study, influences the legibility distance. Note that the higher the threshold percentage the more sign luminance is required to provide the driver with the same legibility distance. For instance, a 20 year old driver achieves the same legibility disance of about 17.4 m (57 ft): at the 50% threshold for a sign luminance of 18.9 cd/m 2, at the 85% threshold for a sign luminance of 51 cd/m 2, at the 95% threshold for a sign luminance of 87 cd/m 2, at the 98% threshold for a sign luminance of 121 cd/m 2, and at the 99% threshold for a sign luminance of 150 cd/m 2. Legibility of the R-33 DO NOT PASS Regulatory Traffic Sign A 76.20 cm x 91.44 cm (30" x 36") DO NOT PASS regulatory traffic sign, depicted in Figure 4, has been examined by using TSLEP. The sign has a black legend on a white background using letter series D standard alphabet styles with a letter height to stroke-width ratio of 6.25, a letter height of 17.78 cm (7 in), and a corresponding stroke-width of 2.84 cm (1.12 in). Figure 5 shows the legibility distances in ft for the above described R-33 DO NOT PASS regulatory traffic sign for selected background luminance values at night as a function of the driver s age. Four of the five sign luminance values used in Figure 5 originate from a review of several nighttime traffic sign legibility studies by Sivak and Olson [16]. They recommend an optimal sign luminance for negative luminance contrast traffic signs of 75 cd/m 2 and sign replacement luminance values of 2.4 cd/m 2, 7.2 cd/m 2 and 16.8 cd/m 2 for the 50 th, 75 th and 85 th percentile, respectively. The fifth sign luminance value of 87 cd/m 2 has been found to be an ideal sign luminance value by TSLEP earlier in this study. The sign luminance contrast is assumed to be close to one (absolute value), the threshold percentage and the exposure time are set to 95% and 0.55 s, respectively. If one assumes a minimum required time to process a traffic sign of the kind described above of 3 s (recommended by the CIE Joint Technical Report No. 73 [17]) and adds 0.65 s corresponding to a 85 th percentile last eye fixation time, the minimum required legibility distance for a driver approaching the traffic sign at a speed of 88.5 km/h (55 mph) is 89.7 m (294 ft). Comparing the minimum required legibility distance of 89.7 m (294 ft) to the legibility distances in Figure 5, one may conclude that no driver over 50 years of age can achieve the minimum required legibility distance under the given conditions even for an ideal sign luminance of about 75 90 cd/m 2. SUMMARY, DISCUSSION OF RESULTS, AND CONCLUSIONS This study investigated on a quantitative basis how the legibility distance of a traffic sign with a negative luminance contrast at night increases when increasing either the sign legend letter height (or the corresponding sign area) or the sign background luminance, or when increasing both simultaneously together, the sign legend letter height (or the corresponding sign area) and the sign background luminance. A computer model has been developed to determine the legibility distance of a negative luminance contrast traffic sign at night as a function of the letter height (or stroke-width), the sign background luminance, the driver s age and other factors. Blackwell s widely established and very comprehensive Series II contrast threshold data have been used to find these fundamental relationships. The contrast threshold is adjusted by several contrast multipliers to account for different driver ages, different threshold percentages, out-of-laboratory conditions, etc, with the assumption that all factors independently and multiplicatively contribute to the final contrast threshold. The assumptions made for the single contrast multipliers seem to be reasonable since they are based upon well-established studies and produce realistic results. For example, the legibility distance at night as calculated by TSLEP of a 60.96 cm (24 in) x 76.2 cm (30 in) DO NOT PASS regulatory traffic sign with a stroke-width of 2.44 cm (0.96 in) for a 22.5 year old observer, a sign background luminance of 50 cd/m 2, a negative luminance contrast of close to one (absolute value) and a threshold percentage of 95%, is 75.2 m (246.8 ft) The average legibility distance of the same traffic sign under low-beam automobile headlamps illumination as found in an earlier field study

Helmut T. Zwahlen, Shaolin Xiong 8 of 15 [18] using ten subject with an average age of 22.5 was 71.0 m (232.9 ft) a very comparable value to the TSLEP result. Therefore, TSLEP seems to be a very useful tool to study the effects of chosen traffic sign design parameters. Using TSLEP, it has been found that elderly drivers are at a high disadvantage reading traffic signs at night and can not be provided with a required legibility index of 6 m/cm (50 ft/in). In order to increase the legibility distance of a traffic sign at night, increasing the sign legend letter height or increasing the sign area seems to be much more effective than increasing the sign background luminance. Increasing the sign background luminance to very high values increases the danger of halation or irradiation having a detrimental effect on the legibility distance. However, increasing only the sign size may be limited by physical limitations such as allowable stress on sign substrates, posts and/or supports. Given the costs and retroreflection properties of different sheeting materials, bearing in mind any physical limitations of increasing the sign size and being aware of the effects of halation/irradiation, one may find out based upon the results of this study and a cost-benefit analysis what strategy (increasing the sign background luminance vs. increasing the sign size vs. a mix of the two) is the most cost-efficient one to achieve an agreed increase in the legibility distance.

Helmut T. Zwahlen, Shaolin Xiong 9 of 15 REFERENCES 1. U. S. Department of Transportation. Manual of Uniform Traffic Control Devices for Streets and Highways. Federal Highway Administration, Washington D. C., 1978 2. Blackwell, R. H. Contrast Thresholds of the Human Eye. Journal of the Optical Society of America, Vol. XXXVI, 1946, pp. 624-643 3. Allen, W. R., Parseghian, Z. and Valkenburgh, P. G. V. Age Effects on Symbol Sign Recognition. Report FHWA/RD-80/126. FHWA, U. S. Department of Transportation, 1980 4. Sivak, M., Olson, P. and Pastalan, L., Effect of Driver s Age on Nighttime Legibility of Highway Signs. Human Factors, Vol. 23, 1981, pp. 59-64 5. Schwab, R. N. and Mace, D. J. Luminance Requirements for Signs with Complex Backgrounds. Public Roads, Vol. 51, 1987, pp. 48-55 6. Poynter, D. Contrast Sensitivity and English Letter Recognition. Proceedings of the Human Factors Society 35 th Annual Meeting, Vol. 2, 1991, pp. 1422-1426 7. Blackwell, R. H. Development and Use of a Quantitative Method for Specification of Interior Illumination Levels on the Basis of Performance Data. Illumination Engineering, Vol. 54, 1959, pp. 317-353 8. Guth, S. K. and McNelis, J. F. Visual Performance: A Comparison in Terms of Detection of Presence and Discrimination of Detail. Illumination Engineering, Vol. 63, 1968, pp. 32-36 9. McNelis, J. F. and Guth, S. K. Visual Performance Further Data on Complex Test Objects. Illumination Engineering, Vol. 64, 1969, pp. 99-102 10. Guth, S. K. and McNelis, J. F. Visual Performance Subjective Differences. Illumination Engineering, Vol. 64, 1969, pp. 723-729 11. Blackwell, M. O. and Blackwell R. H. Visual Performance Data for 156 Normal Observers of Various Ages. Illumination Engineering, Vol. 66, 1971, pp. 3-13 12. Blackwell, M. O. and Blackwell R. H. Individual Responses to Lighting Parameters for a Population of 235 Observers of Varying Ages. Illumination Engineering, vol. 75, 1980, pp. 205-232 13. IES Lighting Handbook, Sixth Edition, Reference Volume. Illuminating Engineering Society of North America, New York, 1981 14. Zwahlen, H. T. Advisory Speed Signs and Curve Signs and Their Effect on Driver Eye Scanning and Driver Performance. In Transportation Research Record 1111, TRB, National Research Council, Washington D. C., 1987, pp. 110-120 15. U. S. Department of Transportation. Standard Alphabets for Highway Signs and Pavement Markings. Federal Highway Administration, Washington D. C., 1977 16. Sivak, M. and Olson, P. L. Optimal and Minimal Luminance Characteristics for Retroreflective Highway Signs. In Transportation Research Record 1027, TRB, National Research Council, Washington D. C., 1985, pp. 53-57 17. Committee Internationale de L Eclairage (CIE). Visual Aspects of Road Markings. CIE Joint Technical Report No. 73, CIE/PIARC, Vienna, 1988 18. Zwahlen, H. T. and Schnell, T. Legibility of Traffic Sign Text and Symbols. In Transportation Research Record 1692, TRB, National Research Council, Washington D. C., 1999, pp. 142-151

Helmut T. Zwahlen, Shaolin Xiong 10 of 15 TABLES AND FIGURES Letter Series H/SW Table 1 Legibility indices for selected driver ages at night calculated using TSLEP Legibility Index m/cm (ft/in) 4.296 (35.8) 4.908 (40.9) 5.496 (45.8) 5.976 (49.8) 6.552 (54.6) 6.876 (57.3) Adjusted Legibility Index for a Selected Driver Age (years) m/cm (ft/in) 20 50 60 70 80 B 8/1 4.296 3.528 2.940 2.184 1.476 (35.8) (29.4) (24.5) (18.2) (12.3) C 7/1 4.908 4.044 3.372 2.484 1.692 (40.9) (33.7) (28.1) (20.7) (14.1) D 6.25/1 5.496 4.524 3.768 2.784 1.884 (45.8) (37.7) (31.4) (23.2) (15.7) E 5.75/1 5.976 4.920 4.128 3.036 2.052 (49.8) (41.0) (34.2) (25.3) (17.1) F 5.25/1 6.552 5.388 4.488 3.324 2.244 (54.6) (44.9) (37.4) (27.7) (18.7) E(m) 5/1 6.876 5.652 4.716 3.480 2.364 (57.3) (47.1) (39.3) (29.0) (19.7) Sign background luminance L b = 87 cd/m 2, Sign luminance contrast C = 1 (ideal), Threshold percentage P = 95 %, Exposure time ET = 0.55 s

Helmut T. Zwahlen, Shaolin Xiong 11 of 15 Table 2 Example using TSLEP that illustrates five selected strategies to improve the legibility distance of a traffic sign Legibility distance [m] Increase factor Both, background luminance (starting at Lb = 50 cd/m²) and letter-height (starting at LH = 17.78 cm) increase Letter-height increase only, starting at LH = 17.78 cm (Lb = 50 cd/m² = const) Both, background luminance (starting at Lb = 50 cd/m²) and sign area (starting at an area for an initial letter-height of LH = 17.78 cm) increase Sign area increase only, starting at an area for an initial letter-height of LH = 17.78 cm (Lb = 50 cd/m² = const) Background luminance increase only, starting at Lb = 50 cd/m² (LH = 17.78 cm = const) 1.0 91.04 91.04 91.04 91.04 91.04 1.1 102.02 100.16 97.38 95.59 92.72 1.2 112.84 109.24 102.75 99.49 94.03 1.3 123.93 118.35 108.94 104.06 95.34 1.4 135.33 127.47 114.60 107.96 96.65 1.5 147.01 136.55 119.69 111.19 97.99 1.6 158.62 145.66 125.33 115.09 99.15 1.7 170.47 154.78 131.09 118.99 100.28 1.8 182.18 163.86 135.91 122.26 101.22 1.9 194.10 172.97 140.82 125.52 102.14 2.0 206.20 182.09 145.82 128.87 103.08 Assuming an initial letter-height LH = 17.78 cm and the use of the letter series E(m) with a letter-height to stroke-width ratio of H/SW = 5, the initial stroke-width (visual detail size) is SW = 3.56 cm. Therefore, increasing the letter-height is associated with a corresponding proportional increase of the stroke-width. Sign luminance contrast C = 1 (ideal), Exposure time ET = 0.55 s, Observer age = 50 years, Threshold percentage P = 95%

Helmut T. Zwahlen, Shaolin Xiong 12 of 15 Figure 1 An example of graphical TSLEP output, showing the the legibility indices for the letter series E(m) in ft/in for selected driver ages at night as a function of the sign background luminance.

Helmut T. Zwahlen, Shaolin Xiong 13 of 15 220.00 210.00 200.00 190.00 Both, background luminance (starting at Lb = 50 cd/m²) and letter-height (starting at LH = 17.78 cm) increase Letter-height increase only, starting at LH = 17.78 cm (Lb = 50 cd/m² = const) Legibility distance [m] 180.00 170.00 160.00 150.00 140.00 130.00 120.00 Both, background luminance (starting at Lb = 50 cd/m²) and sign area (starting at an area for an initial letter-height of LH = 17.78 cm) increase Sign area increase only, starting at an area for an initial letter-height of LH = 17.78 cm (Lb = 50 cd/m² = const) Background luminance increase only, starting at Lb = 50 cd/m² (LH = 17.78 cm = const) 110.00 100.00 90.00 80.00 1.0 1.2 1.4 1.6 1.8 2.0 Increase factor Assuming an initial letter-height LH = 17.78 cm and the use of the letter series E(m) with a letterheight to stroke-width ratio of H/SW = 5, the initial stroke-width (visual detail size) is SW = 3.56 cm. Sign luminance contrast C = 1 (ideal), Exposure time ET = 0.55 s, Observer age = 50 years, Threshold percentage P = 95% Figure 2 Example using TSLEP that illustrates five selected strategies to improve the legibility distance of a traffic sign.

Helmut T. Zwahlen, Shaolin Xiong 14 of 15 Figure 3 An example of graphical TSLEP output, showing the the legibility indices for the letter series E(m) in ft/in for selected sign background luminance values at night as a function of the threshold percentage. Figure 4 A 76.20 cm x 91.44 cm (30" x 36") DO NOT PASS regulatory traffic sign.

Helmut T. Zwahlen, Shaolin Xiong 15 of 15 Figure 5 An example of graphical TSLEP output, showing the the legibility distances in ft for a 76.20 cm x 91.44 cm (30" x 36") DO NOT PASS regulatory traffic sign with a letter-height of LH = 17.78 cm (7 in) and a stroke-width of SW = 2.84 cm (1.12 in), H/SW = 6.25, for selected sign background luminance values at night as a function of the driver s age.