Social Distancing Monitoring By Detection Of Traffic Near Miss And Accidents In Penang

In terms of fatalities, Malaysia ranks third among ASEAN countries. Every year, there is an increase in the number of accidents and fatalities. The state of the road is one of the factors that contribute to Near Misses. A Near Miss is an almost-caused accident, which is an unplanned situation that c...

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Main Author:	Lim, Lek Ming
Format:	Thesis
Language:	English
Published:	2022
Subjects:	QA1 Mathematics (General)
Online Access:	http://eprints.usm.my/59554/1/24%20Pages%20from%20LIM%20LEK%20MING.pdf
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id	my-usm-ep.59554
record_format	uketd_dc
spelling	my-usm-ep.595542023-10-26T02:38:49Z Social Distancing Monitoring By Detection Of Traffic Near Miss And Accidents In Penang 2022-12 Lim, Lek Ming QA1 Mathematics (General) In terms of fatalities, Malaysia ranks third among ASEAN countries. Every year, there is an increase in the number of accidents and fatalities. The state of the road is one of the factors that contribute to Near Misses. A Near Miss is an almost-caused accident, which is an unplanned situation that could result in injury or accidents. The Majlis Bandar Pulau Pinang (MBPP) has installed 1841 closed-circuit television (CCTV) cameras around Penang to monitor traffic and track Near Miss incidents. When installing CCTVs, the utilization of video allows resources to be used and optimized in situations when maintaining video memories is difficult and costly. Highways, industrial regions, and city roads are the most typical places where accidents occur. Accidents occurred at a rate of 200 per year on average in Penang from 2015 to 2017. Near Misses are what create accidents. One of the most essential factors in vehicle detection is the “Near Miss.” In this study, You Only Look Once version 3 (YOLOv3) and Faster Region-based Convolutional Neural Network (Faster RCNN) are used to solve transportation issues. Faster RCNN was only used in vehicle detection. 2022-12 Thesis http://eprints.usm.my/59554/ http://eprints.usm.my/59554/1/24%20Pages%20from%20LIM%20LEK%20MING.pdf application/pdf en public masters Perpustakaan Hamzah Sendut Pusat Pengajian Sains Matematik
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	QA1 Mathematics (General)
spellingShingle	QA1 Mathematics (General) Lim, Lek Ming Social Distancing Monitoring By Detection Of Traffic Near Miss And Accidents In Penang
description	In terms of fatalities, Malaysia ranks third among ASEAN countries. Every year, there is an increase in the number of accidents and fatalities. The state of the road is one of the factors that contribute to Near Misses. A Near Miss is an almost-caused accident, which is an unplanned situation that could result in injury or accidents. The Majlis Bandar Pulau Pinang (MBPP) has installed 1841 closed-circuit television (CCTV) cameras around Penang to monitor traffic and track Near Miss incidents. When installing CCTVs, the utilization of video allows resources to be used and optimized in situations when maintaining video memories is difficult and costly. Highways, industrial regions, and city roads are the most typical places where accidents occur. Accidents occurred at a rate of 200 per year on average in Penang from 2015 to 2017. Near Misses are what create accidents. One of the most essential factors in vehicle detection is the “Near Miss.” In this study, You Only Look Once version 3 (YOLOv3) and Faster Region-based Convolutional Neural Network (Faster RCNN) are used to solve transportation issues. Faster RCNN was only used in vehicle detection.
format	Thesis
qualification_level	Master's degree
author	Lim, Lek Ming
author_facet	Lim, Lek Ming
author_sort	Lim, Lek Ming
title	Social Distancing Monitoring By Detection Of Traffic Near Miss And Accidents In Penang
title_short	Social Distancing Monitoring By Detection Of Traffic Near Miss And Accidents In Penang
title_full	Social Distancing Monitoring By Detection Of Traffic Near Miss And Accidents In Penang
title_fullStr	Social Distancing Monitoring By Detection Of Traffic Near Miss And Accidents In Penang
title_full_unstemmed	Social Distancing Monitoring By Detection Of Traffic Near Miss And Accidents In Penang
title_sort	social distancing monitoring by detection of traffic near miss and accidents in penang
granting_institution	Perpustakaan Hamzah Sendut
granting_department	Pusat Pengajian Sains Matematik
publishDate	2022
url	http://eprints.usm.my/59554/1/24%20Pages%20from%20LIM%20LEK%20MING.pdf
_version_	1783729576998862848

Social Distancing Monitoring By Detection Of Traffic Near Miss And Accidents In Penang

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