Authors: ZULKIFLI ISHAK, WAN SITI HALIMATUL MUNIRAH WAN AHMAD, NURUL ASYIKIN MOHAMED RADZI, SUHAILA SULAIMAN, NOOR EMILIA RAMLI
Abstract: The smart street light (SSL) system is an emerging technology in which a street light is equipped withan advanced control system for dimming and turning the light on or off. SSL also improves the maintenance work byproviding an enhanced inventory, which includes Global Positioning System (GPS) coordinates that can be retrieved froma GPS-enabled SSL. However, GPS coordinates may be inaccurate due to human error and GPS inaccuracy. This workproposes new algorithms for identifying human error and GPS inaccuracy in SSL installation by using distance analysisand the solving point-in-polygon method. The algorithms are important for inventory and maintenance purposes. Faultylight poles can be easily detected using the proposed algorithms. Results prove that the algorithms successfully detectstreet light GPS inaccuracy and swapping of street light controllers and promptly check the out-of-area condition.
Keywords: Smart street light, street lighting, GPS data, light pole inventory
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