Heuristic Fuzzy Approach to Traffic Flow Modelling and Control on Urban Networks

Alexander Gegov (), Boriana Vatchova, Yordanka Boneva and Alexandar Ichtev
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Alexander Gegov: School of Computing, University of Portsmouth, Portsmouth P01 3HE, UK
Boriana Vatchova: Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
Yordanka Boneva: Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
Alexandar Ichtev: Department of Systems and Control, Technical University of Sofia, 1000 Sofia, Bulgaria

Future Internet, 2025, vol. 17, issue 5, 1-19

Abstract: Computer-aided transport modelling is essential for testing different control strategies for traffic lights. One approach to modelling traffic control is by heuristically defining fuzzy rules for the control of traffic light systems and applying them to a network of hierarchically dependent crossroads. In this paper, such a network is investigated through modelling the geometry of the network in the simulation environment Aimsun. This environment is based on real-world traffic data and is used in this paper with the MATLAB R2019a-Fuzzy toolbox. It focuses on the development of a network of intersections, as well as four fuzzy models and the behaviour of these models on the investigated intersections. The transport network consists of four intersections. The novelty of the proposed approach is in the application of heuristic fuzzy rules to the modelling and control of traffic flow through these intersections. The motivation behind the use of this approach is to address inherent uncertainties using a fuzzy method and analyse its main findings in relation to a classical deterministic approach.

Keywords: fuzzy controller design; multivalued fuzzy logic; transport network; microsimulation; hierarchical modelling; MATLAB Fuzzy toolbox; Aimsun (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2025
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