Research Articles (Electrical and Electronic Engineering)

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Browsing Research Articles (Electrical and Electronic Engineering) by Subject "Accelerometers in Telematics"

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    Combining speed and acceleration to detect reckless driving in the informal public transport industry
    (IEEE -- Institute of Electrical and Electronics Engineers, 2013-10) Zeeman, A. S.; Booysen, Marthinus J.
    The informal transport industry in Sub-Saharan Africa is notoriously dangerous, leading to many fatalities annually. This paper presents an innovative way of monitoring driver behaviour, in real-time, by taking into account road design standards, vehicle dynamics, and passenger comfort. Two models are presented that each combines acceleration and speed data into an erratic driving detection algorithm. The first model is developed though the evaluation of empirical results taken from trips in a minibus taxi, and subjectively gauging recklessness from a passenger’s perspective. The second model presents a novel use of commonly used civil engineering principles, used in road design. Evaluation of the models, using actual minibus data, demonstrates that both successfully detect reckless driving, but the second model proves to be simpler and less processor intensive.
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    Detection of reckless driving in the Sub-Saharan informal public transportation system using acceleration-sensing telematics
    (IEEE -- Institute of Electrical and Electronics Engineers, 2013-07) Schietekat, Justin M.; Booysen, Marthinus J.
    Many lives are lost annually in Sub-Saharan Africa’s unique and vibrant informal public transportation system due to accidents caused by reckless driving, fatigue, and illegal overloading. Fleet management has been used extensively to determine the location of mobile assets in the event of theft, or as part of operational management. One of the main objectives of the work presented in this paper, is to build on existing fleet management systems to improve safety and drastically reduce road accidents and the unnecessary loss of lives. Through a thorough literature survey it was concluded that existing work on vehicle tracking and reporting systems, do not use accelerometers to monitor or detect reckless driving, despite the obvious advantages. Similar to other tracking devices, this project uses global positioning to determine position and velocity, but this project also incorporates the use of a 3-axis accelerometer augmented by a theoretical behavioral model to detect and report reckless behavior to a central online server. The accelerometer results show a clear difference between safe and reckless driving.