Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/7694
Title: In-Vehicle Traffic Accident Detection and Alerting System Using Distance-Time Based Parameters and Radar Range Algorithm
Authors: Ajao, Lukman Adewale
Abisoye, Blessing Olatunde
Jibril, Ibrahim Zakariyawu
Jonah, Udeme Monday
Kolo, Jonathan Gana
Keywords: Accelerometer
Emergency unit
Internet of things
Road traffic
Wireless sensors
Issue Date: 25-Aug-2020
Publisher: 2020 IEEE PES/IAS PowerAfrica, Nairobi, Kenya
Citation: 2
Abstract: The high proportion number of citizen death rates with little or severe sustained injury is commonly recorded from road-traffic accidents (RTA). The effect of a road traffic accident is brutal, and it usually leads to mortality and deformity in human physiological anatomy. This work aims to develop an embedded in-vehicle automatic accident detection and barrier detection notification system. A radar range algorithm (RRA) is proposed for the barrier detection on the road before collision occurrence. Also, distance-time based parameters (DTBP) algorithm was developed for the detection of accident geo-location coordinates using the Haversine formula. An Internet of Things (IoT) approach was adopted by integrating the wireless communication devices and sensors embedded into a single chip for the design purposes. This developed system alerts the driver before collision occurrence and eliminates the delay time between accident occurrence and emergency personnel arrival. The use of this system will save more lives from road hazards and decrease mortality.
Description: https://ieeexplore.ieee.org/xpl/conhome/9211329/proceeding, Nairobi, Kenya
URI: DOI: 10.1109/PowerAfrica49420.2020.9219812
http://repository.futminna.edu.ng:8080/jspui/handle/123456789/7694
Appears in Collections:Computer Engineering



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