An immune memory inspired case-based reasoning system to control interrupted flow at a signalized intersection-Reference-Cited by-同舟云学术

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An immune memory inspired case-based reasoning system to control interrupted flow at a signalized intersection

Published:2017-12-26 Issue:3 Volume:52 Page:2099-2129
ISSN:0269-2821
Container-title:Artificial Intelligence Review
language:en
Short-container-title:Artif Intell Rev

Author:

Louati Ali,Elkosantini Sabeur,Darmoul Saber,Ben Said Lamjed

Funder

Deanship of Scientific Research at King Saud University

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Link

http://link.springer.com/content/pdf/10.1007/s10462-017-9604-0.pdf

Reference53 articles.

1. Ahmad A, Arshad R, Mahmud SA, Khan GM, Al-Raweshidy HS (2014) Earliest-deadline-based scheduling to reduce urban traffic congestion. IEEE Trans Intell Transp Syst 15(4):1510–1526. https://doi.org/10.1109/TITS.2014.2300693

2. Althoff K-D, Branting L, Bergmann R (1999) Case-based reasoning research and development. Springer, Berlin, London

3. Angulo E, Romero FP, García R, Serrano-Guerrero J, Olivas JA (2011) An adaptive approach to enhanced traffic signal optimization by using soft-computing techniques. Expert Syst Appl 38(3):2235–2247. https://doi.org/10.1016/j.eswa.2010.08.011

4. Araghi S, Khosravi A, Creighton D (2015) A review on computational intelligence methods for controlling traffic signal timing. Expert Syst Appl 42(3):1538–1550. https://doi.org/10.1016/j.eswa.2014.09.003

5. Bellemans T, Schutter B, De Moor B (2002) Model predictive control with repeated model fitting for ramp metering. In: Proceedings of the IEEE 5th international conference on intelligent transportation systems, vol 19, pp 236–241. https://doi.org/10.1109/ITSC.2002.1041221

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