- Open Access
- Article
Fuzzy-Based Approach for Classifying Road Traffic Conditions: A Case Study on the Padua-Venice Motorway
by Gizem Erdinc1 
, Chiara Colombaroni 2 and Gaetano Fusco 3
1 gizemerdincc@gmail.com, Dept. of Civil, Constructional and Environmental Engineering, Sapienza University of Rome, Rome, 00184, Italy
2 chiara.colombaroni@uniroma1.it, Dept. of Civil, Constructional and Environmental Eng, Sapienza University of Rome, Rome, 00184, Italy
3 gaetano.fusco@uniroma1.it, Dept. of Civil, Constructional and Environmental Engineering, Sapienza University of Rome, Rome, 00184, Italy
* Author to whom correspondence should be addressed.
Journal of Engineering Research and Sciences, Volume 3, Issue 11, Page # 1-2, 2024; DOI: 10.55708/js0311003
Keywords: K Fuzzy traffic congestion estimation, Qualitative traffic state classification, Fuzzy approach
Received: 11 September 2024, Revised: 14 October 2024, Accepted: 15 October 2024, Published Online: 07 November 2024
(This article belongs to the Special Issue Special Issue on Multidisciplinary Sciences and Advanced Technology 2024 & Section Biochemical Research Methods (BRM))
APA Style
Erdinc, G., Colombaroni, C., & Fusco, G. (2024). Fuzzy-based approach for classifying road traffic conditions: A case study on the Padua-Venice motorway. Journal of Engineering Research and Sciences, 3(11), 31-40. https://doi.org/10.55708/js03110003
Chicago/Turabian Style
Erdinc, Gizem, Chiara Colombaroni, and Gaetano Fusco. “Fuzzy-Based Approach for Classifying Road Traffic Conditions: A Case Study on the Padua-Venice Motorway.” Journal of Engineering Research and Sciences 3, no. 11 (2024): 31-40. https://doi.org/10.55708/js03110003.
IEEE Style
G. Erdinc, C. Colombaroni, and G. Fusco, “Fuzzy-based approach for classifying road traffic conditions: A case study on the Padua-Venice motorway,” Journal of Engineering Research and Sciences, vol. 3, no. 11, pp. 31-40, 2024, doi: 10.55708/js03110003.
This study offers a fuzzy-based method for determining the variety of traffic conditions on roads. The fuzzy approach appears more appropriate than the deterministic technique for giving drivers qualitative information about the present traffic condition, as drivers have a shaky understanding of the traffic status. It was used in an analysis that included flow, occupancy, and speed measurements from the Italian freeway that runs between Padua and Venice. MATLAB is used in the application’s development. The empirical findings demonstrate how effectively the suggested study performs in classification. The experiment can offer a straightforward and distinctive viewpoint for induction and traffic control on motorways.
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