This paper presents a fuzzy-logic application based on the Mamdani inference method to get the range of road traffic conditions. It was tested with real data extracted from the Padua-Venice motorway in Italy, which contains a dense network of monitoring that provide continuous measurements of flow, occupancy, and speed. The empirical results show that the proposed study functions well in qualitative classification. The experiment can provide another perspective on motorway traffic control.
Application of a Mamdani-Based Fuzzy Traffic State Identifier to a Real Case Study / Erdinc, Gizem.; Colombaroni, Chiara; Fusco, Gaetano. - (2023). (Intervento presentato al convegno 8th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS tenutosi a Nice, France) [10.1109/MT-ITS56129.2023.10241428].
Application of a Mamdani-Based Fuzzy Traffic State Identifier to a Real Case Study
Erdinc, Gizem.
Writing – Original Draft Preparation
;Colombaroni, Chiara;Fusco, Gaetano
2023
Abstract
This paper presents a fuzzy-logic application based on the Mamdani inference method to get the range of road traffic conditions. It was tested with real data extracted from the Padua-Venice motorway in Italy, which contains a dense network of monitoring that provide continuous measurements of flow, occupancy, and speed. The empirical results show that the proposed study functions well in qualitative classification. The experiment can provide another perspective on motorway traffic control.| File | Dimensione | Formato | |
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Erdinç_Application-Mamdani-based_2023.pdf
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