Published April 30, 2023
| Version CC BY-NC-ND 4.0
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Intelligent Traffic Signal Control using RF Technology for Emergency Vehicles
- 1. Department of Electrical and Electronics Engineering, Sri Vasavi Engineering College, Tadepalligudem (A.P), India.
- 2. Assistant Professor, Department of Electrical and Electronics Engineering, Sri Vasavi Engineering College, Tadepalligudem (A.P), India.
Contributors
Contact person:
- 1. Department of Electrical and Electronics Engineering, Sri Vasavi Engineering College, Tadepalligudem (A.P), India.
Description
Abstract: The transportation system in our nation has been greatly impacted by the problem of traffic congestion. This leads to a number of complications or problems, especially when there are emergencies in the heavily trafficked lanes at traffic lights. To address these challenges, a traffic light management system is built in. Based on an RFID module, this system was designed to operate when it received a signal from an emergency vehicle. The Programmable Arduino nano micro controller was used to regulate the LEDs used in the traffic signals. The system's use of LEDs makes it easier for emergency vehicles to manoeuvre through traffic. As a result, the project's analysis and implementation of the traffic signal control system for emergency vehicles were successful.
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Blue Eyes Intelligence Engineering
and Sciences Publication (BEIESP)
© Copyright: All rights reserved.
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- Journal article: 2319-9598 (ISSN)
References
- Almuraykhi, K. M., & Akhlaq, M. (2019). STLS: Smart Traffic Lights System for Emergency Response Vehicles. 2019 International Conference on Computer and Information Sciences (ICCIS). doi:10.1109/iccisci.2019.8716429.
- Amir, S., Kamal, M. S., Khan, S. S., & Salam, K. M. A. (2017). PLC based traffic control system with emergency vehicle detection and management. 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT). doi:10.1109/icicict1.2017.8342786.
- Ahmed, K. B., & Kumar, D. (2019). Intelligent Transportation System Using RFID to Reduce Congestion, Ambulance Priority and Stolen Vehicle Tracking. 2019 4th International Conference on Information Systems and Computer Networks (ISCON). doi:10.1109/iscon47742.2019.9036164
- Chirag Tamilian, Niketa Chellani(2013) Traffic Congestion Detection and Control using RFID Technology International Journal of Engineering Research & Technology (IJERT) Vol. 2 Issue 10, October – 2013, ISSN: 2278-0181.
- Bilal, J. M., & Jacob, D. (2007). Intelligent Traffic Controller System. IEEE International Conference on Signal Processing and Communications. doi:10.1109/icspc.2007.4728364.
- Naik, T., Roopalakshmi, R., Divya Ravi, N., Jain, P., Sowmya, B. H., & Manichandra. (2018). RFID-Based Smart Traffic Control Framework for Emergency Vehicles. 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT). doi:10.1109/icicct.2018.8473001.
- Vahedha, & Jyothi, B. N. (2016). Smart traffic control system using ATMEGA328 micro controller and arduino software. 2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES). doi:10.1109/scopes.2016.7955706
- Shirabur, S., Hunagund, S., & Murgd, S. (2020). VANET Based Embedded Traffic Control System. 2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT). doi:10.1109/rteict49044.2020.9315.
- Whang, A. J.-W., Pei-Chun Li, Yi-Yung Chen, & Sheng-Liang Hsieh. (2009). Guiding Light From LED Array Via Tapered Light Pipe for Illumination Systems Design. Journalof Display Technology, 5(3), 104–108. doi:10.1109/jdt.2008.2001167
- Meghana, B. S., Kumari, S., & Pushphavathi, T. P. (2017). Comprehensive traffic management system: Real-time traffic data analysis using RFID. 2017 International Conference of Electronics, Communication and Aerospace Technology (ICECA). doi:10.1109/iceca.2017.8212787
Subjects
- ISSN: 2319-9598 (Online)
- https://portal.issn.org/resource/ISSN/2319-9598#
- Retrieval Number: 100.1/ijies.B39061212222
- https://www.ijies.org/portfolio-item/B39061212222/
- Journal Website: www.ijies.org
- https://www.ijies.org/
- Publisher: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)
- https://www.blueeyesintelligence.org