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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
http://eprints.usm.my/59554/
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spelling my.usm.eprints.59554 http://eprints.usm.my/59554/ Social Distancing Monitoring By Detection Of Traffic Near Miss And Accidents In Penang 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 NonPeerReviewed application/pdf en http://eprints.usm.my/59554/1/24%20Pages%20from%20LIM%20LEK%20MING.pdf Lim, Lek Ming (2022) Social Distancing Monitoring By Detection Of Traffic Near Miss And Accidents In Penang. Masters thesis, Perpustakaan Hamzah Sendut.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
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
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
publishDate 2022
url http://eprints.usm.my/59554/1/24%20Pages%20from%20LIM%20LEK%20MING.pdf
http://eprints.usm.my/59554/
_version_ 1781705448093646848
score 13.211869

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