SafeTrax: Smart Collision Prediction and Alert System Using IoT for Sustainable Traffic Safety
With the rise in traffic accidents worldwide, it has become very important to have a more effective way to ensure road safety. To address this issue, we have made a system called SafeTrax. SafeTrax uses deep learning to predict traffic accidents and car crashes. Additionally, it has been implemented...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10819396/ |
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| author | Md. Fahim Bin Amin Israt Jahan Khan Faria Akter Adib Ahmed Md. Motaharul Islam |
| author_facet | Md. Fahim Bin Amin Israt Jahan Khan Faria Akter Adib Ahmed Md. Motaharul Islam |
| author_sort | Md. Fahim Bin Amin |
| collection | DOAJ |
| description | With the rise in traffic accidents worldwide, it has become very important to have a more effective way to ensure road safety. To address this issue, we have made a system called SafeTrax. SafeTrax uses deep learning to predict traffic accidents and car crashes. Additionally, it has been implemented with the Internet of Things (IoT) to gather real-time data from sensors, and AWS Greengrass to process that data quickly and give drivers timely warnings. Unlike old safety systems, SafeTrax can predict if an accident might happen. It warns drivers beforehand to make roads safer for cars, people, and other animals. SafeTrax uses video frames from camera sensors in cars to look for dangers. It then uses a special deep-learning program to figure out if a crash might happen. One important part of SafeTrax is the integration of AWS IoT Greengrass. It helps the system work faster by using cloud services on devices like the Raspberry Pi. This means the system can quickly check the data and send warnings in time. SafeTrax can ensure safer roads, and it can help save lives. |
| format | Article |
| id | doaj-art-d5e5fab948434772a97447af623e00b1 |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-d5e5fab948434772a97447af623e00b12025-08-20T03:08:33ZengIEEEIEEE Access2169-35362025-01-01136667668410.1109/ACCESS.2024.352467610819396SafeTrax: Smart Collision Prediction and Alert System Using IoT for Sustainable Traffic SafetyMd. Fahim Bin Amin0https://orcid.org/0000-0001-7392-793XIsrat Jahan Khan1https://orcid.org/0000-0003-2757-3776Faria Akter2https://orcid.org/0009-0002-7686-7404Adib Ahmed3Md. Motaharul Islam4https://orcid.org/0000-0002-8030-3225Department of Computer Science and Engineering, United International University, Dhaka, BangladeshDepartment of Computer Science and Engineering, United International University, Dhaka, BangladeshDepartment of Computer Science and Engineering, United International University, Dhaka, BangladeshDepartment of Computer Science and Engineering, United International University, Dhaka, BangladeshDepartment of Computer Science and Engineering, United International University, Dhaka, BangladeshWith the rise in traffic accidents worldwide, it has become very important to have a more effective way to ensure road safety. To address this issue, we have made a system called SafeTrax. SafeTrax uses deep learning to predict traffic accidents and car crashes. Additionally, it has been implemented with the Internet of Things (IoT) to gather real-time data from sensors, and AWS Greengrass to process that data quickly and give drivers timely warnings. Unlike old safety systems, SafeTrax can predict if an accident might happen. It warns drivers beforehand to make roads safer for cars, people, and other animals. SafeTrax uses video frames from camera sensors in cars to look for dangers. It then uses a special deep-learning program to figure out if a crash might happen. One important part of SafeTrax is the integration of AWS IoT Greengrass. It helps the system work faster by using cloud services on devices like the Raspberry Pi. This means the system can quickly check the data and send warnings in time. SafeTrax can ensure safer roads, and it can help save lives.https://ieeexplore.ieee.org/document/10819396/TrafficcollisionSafeTraxAWS IoT Greengrassdeep learningIoT |
| spellingShingle | Md. Fahim Bin Amin Israt Jahan Khan Faria Akter Adib Ahmed Md. Motaharul Islam SafeTrax: Smart Collision Prediction and Alert System Using IoT for Sustainable Traffic Safety IEEE Access Traffic collision SafeTrax AWS IoT Greengrass deep learning IoT |
| title | SafeTrax: Smart Collision Prediction and Alert System Using IoT for Sustainable Traffic Safety |
| title_full | SafeTrax: Smart Collision Prediction and Alert System Using IoT for Sustainable Traffic Safety |
| title_fullStr | SafeTrax: Smart Collision Prediction and Alert System Using IoT for Sustainable Traffic Safety |
| title_full_unstemmed | SafeTrax: Smart Collision Prediction and Alert System Using IoT for Sustainable Traffic Safety |
| title_short | SafeTrax: Smart Collision Prediction and Alert System Using IoT for Sustainable Traffic Safety |
| title_sort | safetrax smart collision prediction and alert system using iot for sustainable traffic safety |
| topic | Traffic collision SafeTrax AWS IoT Greengrass deep learning IoT |
| url | https://ieeexplore.ieee.org/document/10819396/ |
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