Review on Adaptive Traffic Signal Control Based on Intelligent Computing
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3994-3_41
Reference64 articles.
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2. Abdelghaffar HM, Rakha HA (2021) Development and testing of a novel game theoretic de-centralized traffic signal controller. IEEE Trans Intell Transp Syst 22(1):231–242. https://doi.org/10.1109/TITS.2019.2955918
3. Abiodun OI, Jantan A, Omolara AE, Dada KV, Mohamed NAE, Arshad H (2018) State-of-the-art in artificial neural network applications: a survey. Heliyon 4(11):e00938. https://doi.org/10.1016/j.heliyon.2018.e00938
4. Acharya S, Dash KK, Chaini R (2020) Fuzzy logic: an advanced approach to traffic control. In: Applications of robotics in industry using advanced mechanisms. ARIAM 2019. Learning and analytics in intelligent systems, vol 5. Springer, Cham, pp 176–186. https://doi.org/10.1007/978-3-030-30271-9_17
5. Ali MEM, Durdu A, Celtek SA, Yilmaz A (2021) An adaptive method for traffic signal control based on fuzzy logic with webster and modified webster formula using SUMO traffic simulator. IEEE Access 9:102985–102997. https://doi.org/10.1109/ACCESS.2021.3094270
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