Abstract
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.
Highlights
With the ongoing improvement of lighting devices and light-emitting diode (LED) light sources, the potential to enhance the efficiency of lighting is becoming even greater
LED fixtures are more flexible than older high-pressure sodium (HPS) devices
We present a case study based on an actual project in Kraków, Poland, to compare the number and structure of segments defined by a professional lighting designer using only supplied maps ‘manual’ tools, a designer using an automated design tool and our prototype system
Summary
With the ongoing improvement of lighting devices and light-emitting diode (LED) light sources, the potential to enhance the efficiency of lighting is becoming even greater. LED fixtures are more flexible than older high-pressure sodium (HPS) devices. They are available in various models, which include hundreds or thousands of variants offering different lighting intensities, optical modules, light distributions, and correlated colour temperatures. This allows fixtures to be precisely matched to fulfil virtually any lighting class on a road of any shape and layout. Existing IT systems, whose role is to manage existing lighting infrastructures or design new installations, tend to focus on the devices themselves (i.e., what provides light), while simplifying the data concerning the illuminated areas (i.e., what is being lit)
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