Wireless Traffic Light Control Using Hand-Held Remote Device in Peak Hours
This project aims to develop a wireless controller ensuring the secure remote operation of traffic signals utilizing handheld device during peak traffic hours. The purpose is to replace traditional manual hand gestures used by traffic police with an intuitive mobile application. The project will utilize the Internet of Things (IoT) Blynk platform to create an app that allows traffic police to remotely control the traffic signals, ensuring efficient traffic management even in challenging scenarios. The traditional method of using hand gestures by traffic police to indicate “stop” and “go” can be ineffective, especially for individuals situated far away from the signal, such as those caught in heavy traffic jams. Additionally, adverse weather conditions, like rain or wind, can hinder the visibility of hand gestures, further exacerbating traffic congestion and potential safety hazards. Furthermore, situations arise where it becomes crucial to clear the path for VIPs, handle accidents, manage breakdowns, or facilitate emergency services such as ambulances. Moreover, during events like Diwali or other festivals, traffic control becomes essential to maintain order and safety. By implementing this project, the mobile application will enable traffic police officers to remotely control traffic signals, overcoming the limitations of manual hand gestures. The app will establish a secure wireless connection between the traffic signal infrastructure and the mobile device, ensuring reliable and real-time communication. This technology will allow traffic police officers to change signal patterns, adjust timings, and manage traffic flow efficiently from a distance, providing an enhanced level of control.
Authors
- P.D. Darade (ORCID: https://orcid.org/0000-0001-5733-638X)
- N. H. V. Krishna Giri
- S. S. Jadhav
- Shashikant Prasad
- Paras Chawade
Institutions
- Dr. D. Y. Patil Medical College, Hospital and Research Centre (IN)
Publication Details
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1109/icisaa62385.2024.10828854
- Primary Topic
- IoT-based Smart Home Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00