| Vision-based Efficient Traffic Control and Scheduling System for Smart City Intersections with Emphasis on Emergency Vehicles |
| کد مقاله : 1120-CYSP2024 (R1) |
| نویسندگان |
|
مهدی سیفیپور *1، سید محمد جعفری2، سیامک محمدی3 1دانشجوی دکترا دانشگاه تهران 2دانشگاه تهران 3دانشکده مهندسی برق و کامپیوتر، دانشکدگان فنی دانشگاه تهران |
| چکیده مقاله |
| Smart cities move towards automating tasks to make people’s life easier. Signalized intersections are one of the most common issues people face on a daily basis. Using sensors to improve the time allotment for different roads at the intersection can reduce waiting time for the vehicles, which can in turn reduce pollution and simply help people reach their destinations faster. Leveraging computer vision can aid in this process. We can use object detection to analyze the busyness of different roads, emergency vehicles and accidents to allocate suitable times to each road. It can also help reduce collisions due to premature green lights, resulting in cars entering the intersection crashing with those leaving it. |
| کلیدواژه ها |
| Smart City, Computer Vision, Edge Computing, Traffic Lights |
| وضعیت: پذیرفته شده برای ارائه شفاهی |