An Approach To Comparative Simulation Of Road Lighting and Estimation Of Associated Quality Parameters

A software-based comparative simulation work was conducted about the luminance-based method of road lighting design with MATLAB and DIALux, giving due consideration to the design standards laid down in CIE140:2019 technical report. The outputs were obtained for a specified set of road lighting conditions in terms of luminaire mounting height, road width, spacing of lighting poles, overhang, and maintenance factor for four different CIE standard road surfaces R1, R2, R3, and R4, six different observer positions and three types of luminai rearrangements. MATLAB and DIALux outputs were quantified by three quality parameters, namely: average luminance, overall uniformity and longitudinal uniformity of luminance, and the linear correlation between the two was found to be statistically significant (p < 0.00001). DIALux, as a graphical lighting design tool, was found to be more convenient than the algorithm-reliant MATLAB programming approach for general road lighting simulation. However, MATLAB programming approachcould facilitate experimental road lighting simulation, and the developed MATLAB program could be used as a flexible tool to simulate road lighting with experimental luminaire distribution curve of luminous intensity (I) and road surface reduced luminance coefficient (r) tables. Further developments upon it could potentially integrate provisions for luminaires with custom tilt and curved road surfaces.

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Review of road surface photometry methods and devices – Proposal for new measurement geometries

Lighting Research and Technology ◽

10.1177/1477153520958454 ◽

2020 ◽

pp. 147715352095845

Author(s):

V Muzet ◽

J Bernasconi ◽

P Iacomussi ◽

S Liandrat ◽

F Greffier ◽

...

Keyword(s):

Lighting Design ◽

Urban Environments ◽

Viewing Distance ◽

Surface Photometry ◽

Observation Distance ◽

Road Lighting ◽

Road Users ◽

Measuring Devices ◽

Road Surfaces ◽

Road Marking

Specifications concerning road lighting and photometry of road surfaces were established more than 50 years ago. Road lighting design and road marking visibility were developed for vehicle driving. The observation distance defined by standards corresponds to interurban applications; however, within Europe these areas do not tend to be lit. The objective of the SURFACE project is to propose new geometries for the photometric characterisation of pavements, both adapted to different urban travel modes and new lighting technologies. This article reviews the available guidelines, standards, measuring devices and literature regarding geometries and road lighting applications, and presents the project SURFACE analysis and proposal. The SURFACE consortium recommends adding several new angles for different driving conditions and road users; 2.29° for urban environments and consistency with road marking standard, and 1° for extra-urban environment and consistency with previous geometries. A 5° angle, corresponding to 17-m viewing distance, could be an interesting compromise, suitable for urban driving at low speed, cycling and for scooters. The angles of 10° and 20° are under consideration for describing the boundary between diffuse and specular behaviour.

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Water monitoring and analytic based thingspeak

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v10i4.pp3588-3595 ◽

2020 ◽

Vol 10 (4) ◽

pp. 3588

Author(s):

Abbas Hussien Miry ◽

Gregor Alexander Aramice

Keyword(s):

Water Quality ◽

Normal Values ◽

Water Quality Monitoring ◽

Lag Time ◽

Quality Parameters ◽

Quality Monitoring ◽

Proposed Model ◽

Response To Water ◽

Matlab Programming ◽

The Internet Of Things

Diseases associated with bad water have largely reported cases annually leading to deaths, therefore the water quality monitoring become necessary to provide safe water. Traditional monitoring includes manual gathering of samples from different points on the distributed site, and then testing in laboratory. This procedure has proven that it is ineffective because it is laborious, lag time and lacks online results to enhance proactive response to water pollution. Emergence of the Internet of Things (IoT) and step towards the smart life poses the successful using of IoT. This paper presents a water quality monitoring using IoT based ThingSpeak platform that provides analytic tools and visualization using MATLAB programming. The proposed model is used to test water samples using sensor fusion technique such as TDS and Turbidity, and then uploading data online to ThingSpeak platform to monitor and analyze. The system notifies authorities when there are water quality parameters out of a predefined set of normal values. A warning will be notified to user by IFTTT protocol.

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Visulux: a Radiosity Based Lighting Design Tool

Photorealistic Rendering in Computer Graphics ◽

10.1007/978-3-642-57963-9_23 ◽

1994 ◽

pp. 227-239

Author(s):

Andrew J. Anderson ◽

Michael Grant

Keyword(s):

Lighting Design ◽

Design Tool

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A new procedure for determining the road surface reduced luminance coefficient table by on-site measurements

Lighting Research and Technology ◽

10.1177/1477153517736804 ◽

2018 ◽

Vol 51 (1) ◽

pp. 65-81 ◽

Cited By ~ 2

Author(s):

N Strbac-Hadzibegovic ◽

S Strbac-Savic ◽

M Kostic

Keyword(s):

Road Surface ◽

Surface Reflection ◽

The Road ◽

Road Lighting ◽

Average Luminance ◽

Road Surfaces ◽

Q Values

Numerous measurements have shown that the standard R classes do not represent adequately many road surfaces used nowadays. Therefore, the construction of portable reflectometers intended for on-site measurements of road surface reflection properties has been given particular attention during the last decade. This paper presents a new procedure for the improvement of the accuracy of such a portable reflectometer. Optimally extrapolating the values of the 20 luminance coefficients (q), each measured by the portable reflectometer for a set of angles of observation (α = 5°–80°), the 20 q-values referring to α = 1° are calculated. This enables their comparison with the corresponding q elements from each of the 447 reduced q-tables derived from the available r-table database, obtained by using a precise laboratory reflectometer on a wide variety of road samples. Selecting the closest reduced q-table, the corresponding r-table and the actual average luminance coefficient can be determined. In order to validate the proposed procedure, which can also be applied to other similar portable reflectometers, measurements of the luminance and overall and longitudinal luminance uniformities were carried out on eleven road-lighting installations. They showed that the results obtained by this procedure deviate only slightly from those obtained using r-tables determined by the laboratory reflectometer.

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Graph-Based Spatial Data Processing and Analysis for More Efficient Road Lighting Design

Sustainability ◽

10.3390/su10113850 ◽

2018 ◽

Vol 10 (11) ◽

pp. 3850 ◽

Cited By ~ 4

Author(s):

Sebastian Ernst ◽

Marek Łabuz ◽

Kamila Środa ◽

Leszek Kotulski

Keyword(s):

Spatial Data ◽

Traditional Approach ◽

Lighting Design ◽

Prototype System ◽

Real World Data ◽

Fine Grained ◽

Road Lighting ◽

Calculation Software ◽

Spatial Data Processing

The efficiency and affordability of modern street lighting equipment are improving quickly, but systems used to manage and design lighting installations seem to lag behind. One of their problems is the lack of consistent methods to integrate all relevant data. Tools used to manage lighting infrastructure are not aware of the geographic characteristics of the lit areas, and photometric calculation software requires a lot of manual editing by the designer, who needs to assess the characteristics of roads, define the segments, and assign the lighting classes according to standards. In this paper, we propose a graph-based method to integrate geospatial data from various sources to support the process of data preparation for photometric calculations. The method uses graph transformations to define segments and assign lighting classes. A prototype system was developed to conduct experiments using real-world data. The proposed approach is compared to results obtained by professional designers in a case study; the method was also applied to several European cities to assess its efficiency. The obtained results are much more fine-grained than those yielded by the traditional approach; as a result, the lighting is more adequate, especially when used in conjunction with automated optimisation tools.

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