A GPS-Based IoT system for Black Spot Notification
Date
2019
Authors
Owire, Billy
Journal Title
Journal ISSN
Volume Title
Publisher
Strathmore University
Abstract
Accident black spot is a length of the road marked as having high road accidents potential. Most of Kenyan highways have become a nightmare to passengers, drivers and pedestrians in the recent past. The situation is traumatizing especially when traffic volumes are high. Most people have lost their lives while others left disabled. One of the common causes of these road accidents is a driver being unfamiliar with the roads. Most accidents have always occurred in the same place for example, in Kenya. Despite authorities using various methods to raise awareness of black spots including 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 these signposts. The research proposed the development of an IoT system embedded on a vehicle and having ability to sense a black spot from a given distance using the global positioning system (GPS) coordinates. The system targets public transport vehicle since these vehicles get involved in road accidents on regular basis. After sensing the black spot, the system then provides an audio directive that notifies a driver to reduce the cruising speed 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 us blackspots. The proposed system’s output was in form of notifications delivered to the user using the GSM system chip.
Description
Thesis submitted in partial fulfillment of the requirements for the Degree of Master of Science in Information Technology (MSIT) at Strathmore University
Keywords
IoT, Black spot, Driver, Car, Audio, Notification, Arduino, GPS, GSM, Microcontroller, TX, RX