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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 |
Files in This Item:
File | Description | Size | Format | |
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In-Vehicle Traffic Accident Detection and Alerting System Using Distance-Time Based Parameters and Radar Range Algorithm.pdf | Conference | 220.26 kB | Adobe PDF | View/Open |
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