Optimization of Traffic Light Cycles Using Genetic Algorithms and Surrogate Models
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-27409-1_55
Reference11 articles.
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2. Bouhlel, M.A., Hwang, J.T., Bartoli, N., Lafage, R., Morlier, J., Martins, J.R.R.A.: A Python surrogate modeling framework with derivatives. In: Advances in Engineering Software p. 102662 (2019)
3. Forrester, A., Sobester, A., Keane, A.: Engineering Design Via Surrogate Modelling: A Practical Guide. Wiley, New York (2008)
4. García -Nieto, J., Ferrer, J., Alba, E.: Optimising traffic lights with metaheuristics: reduction of car emissions and consumption. In: IJCNN, pp. 48–54 (2014)
5. Liang, Y., Ren, Z., Wang, L., Liu, H., Du, W.: Surrogate-assisted cooperative signal optimization for large-scale traffic networks. Knowl.-Based Syst. 234, 107542 (2021)
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