Fuzzy Inference System for Congestion Index Estimation Based on Speed Probability Distributions (CROSBI ID 705826)
Prilog sa skupa u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Tišljarić, Leo ; Ivanjko, Edouard ; Kavran, Zvonko ; Carić, Tonči
engleski
Fuzzy Inference System for Congestion Index Estimation Based on Speed Probability Distributions
The increased development of the urban areas consequently results in a larger number of vehicles on the road network, which inevitably leads to traffic congestion, especially in the rush hours. Intelligent transport systems solutions present the applications that can be useful in detecting and dealing with the problems that are related to congestion. This paper presents a method for the congestion index estimation using the speed transition matrix and the corresponding center of mass. The congestion index is estimated using a Fuzzy Inference System optimized by adopting the Genetic Algorithm. In this paper, the large real-world Global Navigation Satellite System data are used to evaluate the proposed method for the traffic state estimation of most relevant road segments in the largest city in Croatia, the City of Zagreb. The validation of results is performed using the domain knowledge presented in the Highway Capacity Manual, which resulted in the model’s precision of 94.6%. The result indicates a possible application of the method for the congestion estimation in urban centers.
traffic congestion index speed frequency distribution speed transition matrix GNSS data center of mass
Transportation Research Procedia (Volume 55, 2021)
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Podaci o prilogu
1389-1397.
2021.
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objavljeno
10.1016/j.trpro.2021.07.124
Podaci o matičnoj publikaciji
Transportation research procedia
Bujňák, Jan ; Guagliano, Mario
Elsevier
2352-1465
Podaci o skupu
14th International Scientific Conference on Sustainable, Modern and Safe Transport (TRANSCOM)
predavanje
26.05.2021-28.05.2021
Vysoké Tatry, Slovačka
Povezanost rada
Trošak objave rada u otvorenom pristupu
Elektrotehnika, Računarstvo, Tehnologija prometa i transport