Open Access
| Issue |
E3S Web of Conf.
Volume 529, 2024
International Conference on Sustainable Goals in Materials, Energy and Environment (ICSMEE’24)
|
|
|---|---|---|
| Article Number | 04001 | |
| Number of page(s) | 8 | |
| Section | Advanced Interdisciplinary Approaches | |
| DOI | https://doi.org/10.1051/e3sconf/202452904001 | |
| Published online | 29 May 2024 | |
- S. A. Basha, T. D. Rakesh, Chirag, T. Mahesh, T. Satish Kumar, Smart Traffic Control Using Arduino Uno and Rf Module, Int. Res. J. of Mod. In Engg. Tech. and Sci., 4, 7, pp.3728–3734, (2022). [Google Scholar]
- A. G. Razvan, S. T. Radu, A. S. Valentin, D. B. Laurentiu, Simulation of traffic management systems using Arduino boards, IEEE 2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) - Ploiesti, Romania, (2016) [Google Scholar]
- S.S. Chavan, R. S. Deshpande and J. G. Rana, Design of Intelligent Traffic Light Controller Using Embedded System, 2009 Second International Conference on Emerging Trends in Engineering & Technology, Nagpur, Maharashtra India, pp. 1086–1091, (2009). [Google Scholar]
- S. Tote, P. Deshmukh, A. Baravakar, Smart Traffic Controller Using Embedded System, Int. J. of Engg. and Tech. Res. (IJETR), 2, 5, pp. 363–364, (2014). [Google Scholar]
- K. Mandal, A. Sen, A. Chakraborty and S. Roy, Road Traffic Congestion Monitoring & measurement using RFID & GSM Technology, IEEE Annual Conference on Intelligent Transportation System, (2011). [Google Scholar]
- F. Jing, Intelligent traffic light controller design using FPGA, 2016 IEEE International Conference on Consumer Electronics (ICCE), pp. 449—452, (2016). [Google Scholar]
- M. K. Mainali, K. Hirasawa and S. Mabu, Evolutionary approach for the traffic volume estimation of road sections, 2010 IEEE International Conference on Systems, Man and Cybernetics, Istanbul, Turkey, pp. 100–105, (2010). [Google Scholar]
- G. Derekenaris, J. Garofalakis, C. Marris, J. Prentzas, S. Sioutas, A. Tsakalidis, An Information System for the Effective Management of Ambulance, A Tutorial, IEEE communication Magazine, pp.42–51, (2000). [Google Scholar]
- M. B. Jensen, M. P. Philipsen, A. Møgelmose, T. B. Moeslund, and M. M. Trivedi, Vision for looking at traffic lights: Issues, survey, and perspectives, IEEE Trans. on Intell. Transport. Sys., 17, 7, pp. 1800–1815, (2016). [Google Scholar]
- Z. Yuye & Y. Weisheng, Research of Traffic Signal Light Intelligent Control System Based On Microcontroller”, First International Workshop on Education Technology and Computer Science, pp.301–303, (2009). [Google Scholar]
- H. Gunda, R. Waghunde, S. Malwatkar, A. Desai, P. Baviskar, Smart Traffic Management System Using Arduino and RFID Tags, Int. J. of Create. Res. Thoughts (IJCRT), 6, 2, pp.377–383, (2018). [Google Scholar]
- A.S.S. Murugan, Rajib Kumar Kar, M. Rajitha and N. Karuppiah, IOT based Smart Unlawful Electricity Usage Surveillance and Warning System, E3S Web of Conferences, 472, 03009 (2024). [Google Scholar]
- U. Abubakar, A. Shuaibu, Z. Haruna, A. Ore-Ofe, Z. M. Abubakar and R. F. Adebiyi, Development of a Density-Based Traffic Light Signal System, MDPI Engg. Proce., 56, 36, pp.1–6, (2023). [Google Scholar]
- K. Vidhya, A Bazil. Banu, Density Based Traffic Signal System, International Conference on Innovations in Engineering and Technology (ICIET), (2014). [Google Scholar]
- P. Chakraborty, P. Nair, P. R. Sinha and I. K. Behera, Real time optimized traffic management algorithm, Int. J. of Comp. Sci. & Inform. Tech. (IJCSIT) 6, 4, (2014). [Google Scholar]
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