International Journal For Multidisciplinary Research
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Volume 8 Issue 5
September-October 2026
Indexing Partners
Innovating And Inspiring Smart Traffic Control Through And Future Implementation
| Author(s) | Ms. Kranti Choudhary, Dr. Yatendra Kashyap, Dr. Saurabh Mandloi |
|---|---|
| Country | India |
| Abstract | In Today's daily life the Increase in population and the growing number of vehicles, the continuous rise in the number of vehicles has made smart Traffic Control a major problem in Deep Learning based Smart Traffic Control system appears to be a new Approach in modern times.in smart Traffic system,by collecting data from Deep Learning like CNN, YOLO all version algorithms and IoT Sensors, that data is analyzed on the basis of its features like Identifying vehicles knowing Traffic density in realtime, predicting flocks. Traffic is controlled by the analysis done so that unnecessary issues donot arise in Traffic Control. If seen from a Technology focuses on the development of Smart Traffic Control System. Deep Learning based system takes its own decision in real time to control the traffic. Which shows a new innovation,Smart Inspiring and Implementation point of view in Smart Traffic Control. Deep Learning based Smart Traffic Control system makes Traffic/Translation easy and manages traffic efficiency.this plays an important role in reducing Traffic accident, fuel shortage environmental population and life safety by giving priority to emergency vehicles.this system is one effective and motivating system technology for planning smart cities and secure world. |
| Keywords | Smart Traffic control,CNN, YOLO, Deep Learning Technology, IoTsensor, Environmental pollution, Emergency vehicles, Innovation, inspiration, Implementation |
| Field | Engineering |
| Published In | Volume 8, Issue 5, September-October 2026 |
| Published On | 2026-10-14 |
| DOI | https://doi.org/10.36948/ijfmr.2026.v08i05.89656 |
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E-ISSN 2582-2160
CrossRef DOI prefix of IJFMR is 10.36948/ijfmr
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