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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Trường Đại học Đà Lạt
2023
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| Truy cập trực tuyến: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/114426 https://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/879 |
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oai:scholar.dlu.edu.vn:DLU123456789-1144262023-10-27T14:46:39Z RESEARCH ON TRAFFIC CONGESTION DETECTION FROM CAMERA IMAGES IN A LOCATION OF DA LAT Nguyen, Thi Luong 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. 2023-03-04T08:26:03Z 2023-03-04T08:26:03Z 2021 Article 0866-787X https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/114426 https://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/879 10.37569/DalatUniversity.11.4.879(2021) en Tạp chí Khoa học Đại học Đà Lạt, Tập 11, Số 4; tr. 63-75 application/pdf Trường Đại học Đà Lạt |
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English |
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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 |
| author |
Nguyen, Thi Luong |
| spellingShingle |
Nguyen, Thi Luong RESEARCH ON TRAFFIC CONGESTION DETECTION FROM CAMERA IMAGES IN A LOCATION OF DA LAT |
| author_facet |
Nguyen, Thi Luong |
| author_sort |
Nguyen, Thi Luong |
| title |
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_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_sort |
research on traffic congestion detection from camera images in a location of da lat |
| publisher |
Trường Đại học Đà Lạt |
| publishDate |
2023 |
| url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/114426 https://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/879 |
| _version_ |
1781718724486627328 |