Application of simulation modeling to improve the functioning of the module of intelligent transport and logistics system

Lyapin, Sergey; Rizaeva, Yulia; Kadasev, Dmitry; Voronin, Nikita

doi:10.1109/cscmp45713.2019.8976553

Cited by 4 publications

(1 citation statement)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fuzzy logic-based modelling has found wide application in the analysis of traffic conditions for fragmented flows, such as public transport or freight traffic (Pulugurta et al, 2015;Lyapin et al, 2019;Kedia et al (2015). Such models generally apply the fuzzy set theory and an accumulated expert knowledge base (Ding and Wang, 2009).…”

Section: Introductionmentioning

confidence: 99%

Development of Reliable Models of Signal-Controlled Intersections

Glushkov

Shepelev

2021

Transport and Telecommunication Journal

View full text Add to dashboard Cite

The paper considers an approach to building various mathematical models for homogeneous groups of intersections manifested through the use of clustering methods. This is because of a significant spread in their traffic capacity, as well as the influence of several random factors. The initial data on the traffic flow of many intersections was obtained from real-time recorders of the convolutional neural network. As a result of the analysis, we revealed statistically significant differences between the groups of intersections and compiled their linear regression models as a basis for the subsequent formation of generic management decisions. To demonstrate visually the influence of random factors on the traffic capacity of intersections, we built distribution fields based on the fuzzy logic methods for one of the clusters consisting of 14 homogeneous intersections. Modeling was based on the Gaussian type of membership functions as it most fully reflects the random nature of the pedestrian flow and its discontinuity.

show abstract

Section: Introductionmentioning

confidence: 99%