Abstract
In the research of Webster delay model, Genetic Algorithm (GA), Ant colony algorithm (ACO) and Particle Swarm Optimization algorithm (PSO) have been used to solve the signal timing problem. However, the performances of these algorithms depend heavily on determination of the operators and the choice of related parameters. In this paper, an improved PBIL algorithm is proposed to solve the signal timing problem of an isolated intersection. The experimental results show that the algorithm can get rational signal timing effectively with more insensitive to the parameters setting.
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Zhang, Q., Dong, W., Xing, X. (2014). PBIL Algorithm for Signal Timing Optimization of Isolated Intersection. In: Pan, L., Păun, G., Pérez-Jiménez, M.J., Song, T. (eds) Bio-Inspired Computing - Theories and Applications. Communications in Computer and Information Science, vol 472. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45049-9_99
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DOI: https://doi.org/10.1007/978-3-662-45049-9_99
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45048-2
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