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Fuzzy Feedback Control for Dynamic Routing Problem

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Feedback Control Theory for Dynamic Traffic Assignment

Part of the book series: Advances in Industrial Control ((AIC))

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Abstract

The aim of this chapter is to provide a review of fuzzy logic fundamentals for control design and then to show a design of a fuzzy feedback control law for a sample DTR problem. The fundamentals of fuzzy set theory are first presented, and then fuzzy logic is covered in terms of the fuzzy sets. Development of fuzzy control involves the concepts of fuzzification, fuzzy logic based inference engine, and defuzzification. These concepts are explained and finally a fuzzy logic based controller is designed for a routing problem and a computer simulation performed for illustration purposes.

This chapter is adapted with permission of the Transportation Research Board from the paper by Pushkin Kachroo and Kaan Özbay, “Fuzzy Feedback Control for Real-Time Dynamic Traffic Routing: User Equilibrium Model Formulations and Controller Design,” in Transportation Research Record: Journal of the Transportation Research Board, No. 1556, 1996, pp. 137–146. DOI: https://doi.org/10.3141/1556-16.

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Correspondence to Pushkin Kachroo .

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Kachroo, P., Özbay, K.M.A. (2018). Fuzzy Feedback Control for Dynamic Routing Problem. In: Feedback Control Theory for Dynamic Traffic Assignment. Advances in Industrial Control. Springer, Cham. https://doi.org/10.1007/978-3-319-69231-9_7

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  • DOI: https://doi.org/10.1007/978-3-319-69231-9_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69229-6

  • Online ISBN: 978-3-319-69231-9

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