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Developing a macroscopic model based on fuzzy cognitive map for road traffic flow simulation

Amini, Mehran and Hatwágner, F. Miklós and Mikulai, Gergely Csaba and Kóczy, T. László (2021) Developing a macroscopic model based on fuzzy cognitive map for road traffic flow simulation. INFOCOMMUNICATIONS JOURNAL, 13 (3). pp. 14-23. ISSN 2061-2079

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Abstract

Fuzzy cognitive maps (FCM) have been broadly employed to analyze complex and decidedly uncertain systems in modeling, forecasting, decision making, etc. Road traffic flow is also notoriously known as a highly uncertain nonlinear and complex system. Even though applications of FCM in risk analysis have been presented in various engineering fields, this research aims at modeling road traffic flow based on macroscopic characteristics through FCM. Therefore, a simulation of variables involved with road traffic flow carried out through FCM reasoning on historical data collected from the e-toll dataset of Hungarian networks of freeways. The proposed FCM model is developed based on 58 selected freeway segments as the “concepts” of the FCM; moreover, a new inference rule for employing in FCM reasoning process along with its algorithms have been presented. The results illustrate FCM representation and computation of the real segments with their main road traffic-related characteristics that have reached an equilibrium point. Furthermore, a simulation of the road traffic flow by performing the analysis of customized scenarios is presented, through which macroscopic modeling objectives such as predicting future road traffic flow state, route guidance in various scenarios, freeway geometric characteristics indication, and effectual mobility can be evaluated.

Item Type: Article
Additional Information: Department of Information Technology, Szechenyi Istvan University, Gyor, Hungary Doctoral School of Regional Sciences and Business Administration, Gyor, Hungary Department of Telecommunications and Media Informatics, Budapest University of Technology and Economics, Hungary Export Date: 18 January 2022 Correspondence Address: Amini, M.; Department of Information Technology, Hungary Funding details: National Research, Development and Innovation Office, NKFIH K124055 Funding text 1: This research was supported by the National Office of Research, Development, and Innovation grant NKFIH K124055.
Subjects: T Technology / alkalmazott, műszaki tudományok > T2 Technology (General) / műszaki tudományok általában
SWORD Depositor: MTMT SWORD
Depositing User: MTMT SWORD
Date Deposited: 28 Jan 2022 10:52
Last Modified: 28 Jan 2022 10:52
URI: http://real.mtak.hu/id/eprint/136601

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