The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Citation
Articles | Volume XLVI-4/W5-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4/W5-2021, 405–410, 2021
https://doi.org/10.5194/isprs-archives-XLVI-4-W5-2021-405-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4/W5-2021, 405–410, 2021
https://doi.org/10.5194/isprs-archives-XLVI-4-W5-2021-405-2021

  23 Dec 2021

23 Dec 2021

A SMART GPS-BASED IOT SYSTEM FOR BLACKSPOT NOTIFICATION

B. Owire and B. Shibwabo Kasamani B. Owire and B. Shibwabo Kasamani
  • Strathmore University, Nairobi, Kenya

Keywords: IoT, black spot, blackspot, driver, audio, notification, Arduino, GPS, GSM, microcontroller, TX, RX

Abstract. An accident blackspot is a length of the road marked as having high road accidents potential. Various highways have become a nightmare to passengers, drivers and pedestrians in the recent past. One of the common causes of road accidents is a driver being unfamiliar with a road. Despite authorities using various methods to raise awareness of blackspots including the use speed guns detectors the rate of the accidents on the roads is still in an alarming rate. More often, signposts on the road can be vandalized or even be hit by a reckless driver. There is also an assumption that every driver reads and understands signposts. We propose an IoT system embedded on a vehicle and having ability to sense a blackspot from a given distance. After sensing the blackspot, the system then provides an audio directive that notifies a driver to be more careful and avoid overtaking. The proposed system was developed using GPS, microcontrollers, and GSM mobile technology. The system was tested using coordinates extracted from road sections marked as blackspots. The proposed system sends notifications to end users using GSM system chip.