(Chin-Woo Yi)
†iD
(Hyun-Bae Choi)
1iD
-
(CEO, CLTech. Co., Ltd., Korea)
Copyright © The Korean Institute of Illuminating and Electrical Engineers(KIIEE)
Key words
Road surface luminance, Road tunnel, Theoretical equation, Visual cell signal threshold
1. Introduction
The aim of tunnel lighting is to ensure that traffic, both during daytime and nighttime,
can approach, pass through, and exit a tunnel at the designated speed, with a degree
of safety and comfort equivalent to that on the adjacent stretches of open road.
This goal is achieved when, firstly, sufficient information is provided about the
“run of the road ahead” and the presence of obstacles, including vehicles and their
movements. Secondly, drivers should experience the visual confidence as they do on
the adjacent stretches of open road. Maintaining this sense of security is critical
as drivers approach a tunnel; otherwise, they might suddenly slow down, creating a
hazardous situation.
The photometric characteristics of tunnel lighting installation which are considered
to be of importance are the luminance level of the road and the lower part of the
walls, the uniformity of the luminance distribution on the road, the control of glare,
and the avoidance of flicker.
Recommendations given in a guide for luminance levels should be considered as maintained
minimum values. To derive non-depreciated values from these maintained values, a maintenance
factor appropriate for the prevailing circumstances should be taken into account[1].
In 1973, CIE published the first edition of its “International Recommendations for
Tunnel Lighting” (Publication CIE No 26). Since then it has become clear from practical
experience that the 1973 Recommend- ations do not give a satisfactory answer to all
problems concerned with tunnel lighting. In 1975, therefore, CIE appointed a subcommittee
to study the fundamentals of tunnel lighting. In 1985, a detailed CIE Technial Report,
prepared by that subcommittee, was published reviewing fundamental experiments concerning
the lighting requirements for drivers approaching the entrance of a tunnel in daytime
(Publication CIE No 61-1984-“Tunnel entrance lighting-a survey of fundamentals for
determining the luminance in the threshold zone”). That report, together with other
information relating to practical experience with different tunnel lighting installations,
forms the background of the recommendations given in the Guide at that time.
The terminology and some of the definitions in Publications CIE 88-1990 may be different
to those used in Publications CIE no 26/1 and CIE no 61.
The Publications CIE 88-1990 had been prepared by the experts of CIE Committee TC
4-08 in close contact with the working group “Lighting” of the Committee on Road Tunnels
of PIARC (Permanent International Association of Road Congresses) and replaces the
Publication CIE no 26/1 (1973) International Recommendations for Tunnel Lighting[2].
The requirements for lighting installation of a tunnel are influenced by several critical
factors which determine visibility. These conditions ard eminently variable, and involve
characteristics of the driver, including ability, age and personal habits; the physical
conditions of the road, access to and the length of the tunnel; atmospheric conditions;
traffic density, volume and speed; and type of vehicles in transit. Additional considerations
include the contribution of lighting to the architectural aspect of the tunnel opening
with regard to visual guidance, comfort and to the overall maintenance of the installation[3].
The interior zone is the stretch of tunnel following the transition zone. The lighting
is generally kept at a constant level over the whole length of the interior zone.
Depending upon vehicle speed, the gradual reduction of luminance in the transition
zone may not allow for complete dark adaptation to the lowest illumination level reached
in the interior zone.
Therefore, during daylight hours, sufficiently high illumination levels are needed
in the interior zone for satisfactory visibility[4].
The average luminance of the road in the interior zone of the tunnel is given as a
function of the stopping distance and the traffic flow. Very long tunnel’s interior
zone consists of two different sub zones. The first sub zone corresponds to the length
which is covered in 30seconds and should be illuminated with the “long tunnels” levels.
The second sub zone corresponds to the remaining length and should be illuminated
with the “very long tunnels” levels[5].
However, this regulation is not yet applied to our tunnel design standards[6].
Determining the required road surface luminance of the interior zone of a road tunnel
requires a decision between the safety of road users and economic feasibility. To
date, standards based on experimental results have been applied[1, 7].
In this paper, the required road surface luminance was theoretically derived from
assumed factors necessary for determining the required road surface luminance of a
road tunnel. Theoretical equations were derived based on two cases for triggering
signals from visual cells to the brain. To verify the feasibility of the results,
they were compared with values recommended as standards.
2. Luminance level equation
A Theoretical Equation for the Road Surface Luminance in the Interior Zone of a Road
Tunnel
2.1 Assumptions
To determine the road surface luminance, the following assumptions were made:
1. When the ratio of obstacle-to-road surface luminance is constant, the intensity
of light entering the optic cell is proportional to the road surface luminance[8].
2. The detecting distance does not depend on the speed of the vehicle[8].
When the cumulative amount of light reaching the visual cells exceeds a threshold,
information is transmitted to the brain via the optic nerve. The human eye perceives
brightness as a logarithmic value[9, 10], while general sensors respond linearly to the accumulated light amount. Two assumptions
were used to determine whether the accumulated light amount reaching the threshold
follows the logarithmic value of brightness or follows linearity.
3. (case 1) Visual cells send a signal to the brain when the product of the logarithm
of road surface luminance and time reaches the threshold.
(case 2) Visual cells send a signal to the brain when the product of the road surface
luminance and time reaches the threshold.
4. The time for the brain to recognize an object and trigger a muscles response is
constant, and negligible compared to other processes.
5. The vehicle decelerates at constant acceleration when stopping.
2.2 Theoretical Equations
When the vehicle stops, the acceleration is -am/s2, the object identification start distance is Sm, and the design speed is v km/h(=v/3.6
m/s). The time to reach the object identification distance without braking is ts(=3.6S/v) sec and the braking time is tb(=v/3.6a)sec. Therefore, the recognition time trsec is calculated by the following
equation.
The acceleration a when the vehicle stops is mainly determined by the vehicle's braking
ability and the condition of the road surface. When analyzing the design speed and
braking distance specified in the currently applied regulations, a was found to be
1.5 ~ 2.5 m/s2[11]. In this paper, assuming an optimal braking state, a was set to 2.5 m/s2.
The distance S was assumed to be 500 m based on the calculation under the condition
of an obstacle with a size of 0.15 m×0.15 m and a reflectivity of 0.2, which is commonly
used in road tunnel tests[12], assuming that a human eye with 1.0 vision can perceive a visual difference of 1'[13].
Based on assumption 3.(1), when the product of the log value of the average road surface
luminance Lr cd/m2 and the recognition time tr reaches a certain amount Cr1(=log Lr×tr) cd․s/m2, the brain recognizes the object and send a braking command to the muscles. Therefore
the average road surface luminance is determined by the following equation.
The critical accumulated light quantity Cr1, which is the product of the log value
of the average road surface luminance and the recognition time, was used as 6.57 cd․s/m2 by using the standard of Lr=9 cd/m2 when the tunnel transmittance is 50% and v is 100 km/h[14]. Using the above assumed constants, (Equation 2) is organized as follows.
Based on assumption 3.(2), when the product of the average road surface luminance
Lrcd/m2 and the recognition time tr reaches a certain amount Cr2(=Lr×tr)cd․s/m2, the brain recognizes the object and gives a braking command to the muscles, so the
average road surface luminance is determined by the following equation.
The standard of Lr is 9 cd/m2 when v is 100 km/h. Assuming that the transmittance within the currently used tunnel
is 50%, Cr2 was assumed to be 62 cd․s/m2[14].
Based on the assumed constants above, (Equation 4) can be summarized as follows.
Fig. 1. Concept diagram from seeing and recognizing an obstacle to stopping
2.3 Verification
Comparisons of the theoretical calculation results of (Equation 3) and (Equation 5) with the currently used standards derived experimentally are shown in Table 1[6]. For assumption 3.(1), the results were similar at the design speeds of 100 and 40
km/h, but the calculated values were 31 and 17% lower than the standards at 80 and
60 km/h respectively.
Under assumption 3.(2), the results were almost identical, except for a 17% higher
than the standard at 60 km/h.
Based on the results above, (Equation 5) was in good agreement with the experimentally derived criteria, so (Case 2) of Assumption
3 was more valid.
Table 1. Calculated and standard values of average luminance level of a road according
to design speed.
3. Conclusion
This paper proposes a theoretical equation for the average road surface luminance
in road tunnels and validates its feasibility by comparing the results with current
standard.
The threshold of photoreceptor cells that detect obstacles and send signals to the
brain does not follow the Weber-Fechner's law, but is determined by the product of
the surface luminance and time.
In the case of design speeds of 110 and 120 km/h, which have not yet been presented
as standards, the predicted values of the road surface luminance of road tunnels are
14.8 and 36.3 cd/m2, respectively, according to the results of this paper.
Further research should explore object recognition by distinguishing between rods
and cones.
References
CIE 88-1990, “Guide for the lighting of road tunnels and underpasses,” CIE, p. 2,
1990.

CIE 88-1990, “Guide for the lighting of road tunnels and underpasses,” CIE, p. 1,
1990.

CIE 88-2004, “Guide for the lighting of road tunnels and underpasses,” CIE, p. 1,
2004.

CIE 88-1990, “Guide for the lighting of road tunnels and underpasses,” CIE, p. 6,
1990.

CIE 88-2004, “Guide for the lighting of road tunnels and underpasses,” CIE, p. 17,
2004.

Korean Ministry of Construction and Transportation, and Korean Institute of Illuminating
and Electrical Installation Engineers, “Design standards for road tunnel lighting
facilities,” Doseochulpan Euije, p. 52, 1996.

Korean Ministry of Construction and Transportation, and Korean Institute of Illuminating
and Electrical Installation Engineers, “Design standards for road tunnel lighting
facilities,” Doseochulpan Euije, p. 8, 1996.

CIE 61-1984, “Tunnel entrance lighting : A survey of fundamentals for determining
the luminance in the threshold zone,” CIE, p. 56, 1984.

C. K. Chee, “Illumination Engineering,” Moonwoongdang, p. 5, 1982.

CIE 61-1984, “Tunnel entrance lighting : A survey of fundamentals for determining
the luminance in the threshold zone,” CIE, p. 15, 1984.

Korean Ministry of Construction and Transportation, and Korean Institute of Illuminating
and Electrical Installation Engineers, “Design standards for road tunnel lighting
facilities,” Doseochulpan Euije, p. 23, 1996.

CIE 61-1984, “Tunnel entrance lighting : A survey of fundamentals for determining
the luminance in the threshold zone” CIE, p. 20, 1984.

C. K. Chee, “Illumination Engineering,” Moonwoongdang, p. 4, 1982.

Korean Ministry of Construction and Transportation, and Korean Institute of Illuminating
and Electrical Installation Engineers, “Design standards for road tunnel lighting
facilities,” Doseochulpan Euije, p. 52, 1996.

Biography
He received a Ph.D. degree from Seoul National University, Korea, in 1990. He is
now a professor at Hoseo University, Korea.
He is a Ph.D. candidate at Hoseo University, Korea. He is now the CEO of CLTech.
Co., Ltd., Korea.