RESEARCH ON TRAFFIC CONGESTION DETECTION FROM CAMERA IMAGES IN A LOCATION OF DA LAT
Many researchers are interested in traffic congestion detection and prediction. Traffic congestion occurs increasingly in many cities in Vietnam, including the city of Da Lat. This paper focuses on SVM, CNN, DenseNet, VGG, and ResNet models to detect traffic congestion from camera images collected a...
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| Format: | Article |
| Language: | English |
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Dalat University
2021-10-01
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| Series: | Tạp chí Khoa học Đại học Đà Lạt |
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| Online Access: | https://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/879 |
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| _version_ | 1832557620358021120 |
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| author | Nguyen Thi Luong |
| author_facet | Nguyen Thi Luong |
| author_sort | Nguyen Thi Luong |
| collection | DOAJ |
| description | Many researchers are interested in traffic congestion detection and prediction. Traffic congestion occurs increasingly in many cities in Vietnam, including the city of Da Lat. This paper focuses on SVM, CNN, DenseNet, VGG, and ResNet models to detect traffic congestion from camera images collected at Nga 5 Dai Hoc, Da Lat. These images are labeled with the words traffic congestion or no traffic congestion. The experimental results have an accuracy of over 93%. The study is an initial contribution to a future system for predicting traffic congestion in Da Lat when the camera system is fully installed. |
| format | Article |
| id | doaj-art-134984c0c7f4485eb84e621179d939f0 |
| institution | Kabale University |
| issn | 0866-787X |
| language | English |
| publishDate | 2021-10-01 |
| publisher | Dalat University |
| record_format | Article |
| series | Tạp chí Khoa học Đại học Đà Lạt |
| spelling | doaj-art-134984c0c7f4485eb84e621179d939f02025-02-03T03:29:35ZengDalat UniversityTạp chí Khoa học Đại học Đà Lạt0866-787X2021-10-01637510.37569/DalatUniversity.11.4.879(2021)631RESEARCH ON TRAFFIC CONGESTION DETECTION FROM CAMERA IMAGES IN A LOCATION OF DA LATNguyen Thi Luong0Dalat UniversityMany researchers are interested in traffic congestion detection and prediction. Traffic congestion occurs increasingly in many cities in Vietnam, including the city of Da Lat. This paper focuses on SVM, CNN, DenseNet, VGG, and ResNet models to detect traffic congestion from camera images collected at Nga 5 Dai Hoc, Da Lat. These images are labeled with the words traffic congestion or no traffic congestion. The experimental results have an accuracy of over 93%. The study is an initial contribution to a future system for predicting traffic congestion in Da Lat when the camera system is fully installed.https://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/879da latdeep learningdetectiontraffictraffic congestion. |
| spellingShingle | Nguyen Thi Luong RESEARCH ON TRAFFIC CONGESTION DETECTION FROM CAMERA IMAGES IN A LOCATION OF DA LAT Tạp chí Khoa học Đại học Đà Lạt da lat deep learning detection traffic traffic congestion. |
| title | RESEARCH ON TRAFFIC CONGESTION DETECTION FROM CAMERA IMAGES IN A LOCATION OF DA LAT |
| title_full | RESEARCH ON TRAFFIC CONGESTION DETECTION FROM CAMERA IMAGES IN A LOCATION OF DA LAT |
| title_fullStr | RESEARCH ON TRAFFIC CONGESTION DETECTION FROM CAMERA IMAGES IN A LOCATION OF DA LAT |
| title_full_unstemmed | RESEARCH ON TRAFFIC CONGESTION DETECTION FROM CAMERA IMAGES IN A LOCATION OF DA LAT |
| title_short | RESEARCH ON TRAFFIC CONGESTION DETECTION FROM CAMERA IMAGES IN A LOCATION OF DA LAT |
| title_sort | research on traffic congestion detection from camera images in a location of da lat |
| topic | da lat deep learning detection traffic traffic congestion. |
| url | https://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/879 |
| work_keys_str_mv | AT nguyenthiluong researchontrafficcongestiondetectionfromcameraimagesinalocationofdalat |