Work

Application of a Mamdani-Based Fuzzy Traffic State Identifier to a Real Case Study

Year: 2023

Type: conference-paper

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.

Source: International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)

DOI: 10.1109/mt-its56129.2023.10241428

Authors: Gizem Erdinç, Chiara Colombaroni, Gaetano Fusco

Institution: Sapienza University of Rome

Language: English

Topic: Traffic control and management

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W4386598043