Emergency Alert and Adaptive Traffic Signal System Using Machine Learning
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1329-5_7
Reference11 articles.
1. Ouallane AA, Bahnasse A, Bakali A, Talea M (2022) Overview of road traffic management solutions based on IoT and AI. Elsevier Publications. https://doi.org/10.1016/j.procs.2021.12.279
2. Elsagheer Mohamed SA, AlShalfan KA (2021) Intelligent traffic management system based on the internet of vehicles (IoV). J Adv Transp 2021:23. https://doi.org/10.1155/2021/4037533
3. Miletić M, Ivanjko E, Gregurić M, Kušić K. A review of reinforcement learning applications in adaptive traffic signal control. IET Intell Transp Syst. https://doi.org/10.1049/itr2.12208
4. Louati A, Louati H, Li Z (2020) Deep learning and case‑based reasoning for predictive and adaptive traffic emergency management. J Supercomput. https://doi.org/10.1007/s11227-020-03435-3
5. Agrawal A, Paulus R (2021) Improving traffic and emergency vehicle clearance at congested intersections using fuzzy inference engine. Int J Electr Comput Eng (IJECE) 11(4):3176–3185. ISSN: 2088-8708. https://doi.org/10.11591/ijece.v11i4.pp3176-3185
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