MODELING OF TRAFFIC FLOW CHARACTERISTICS ON CONGESTED ROAD SECTIONS BASED ON REAL DATA STUDY

This paper presents research results based on real traffic flow data. It analyzes the traffic flow characteristics of arterial, secondary, and local roads under congestion and reveals the spatial - temporal features of traffic congestion across roads of different functional classes. After mathematically processing raw data, including removing anomalies and filling in missing data, credible results were obtained. Significant differences in traffic congestion characteristics and model accuracy across road classes were found, with the best model fit achieved on secondary and local roads. For the first time, this study combines traffic congestion analysis with road hierarchy, offering a theoretical basis for congestion evaluation and identification.

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Publication Details

Journal
World of transport and technological machines
Published
2025-01-01
DOI
https://doi.org/10.33979/2073-7432-2025-2-3(89)-55-64
Primary Topic
Traffic Prediction and Management Techniques
Type
article
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article

MODELING OF TRAFFIC FLOW CHARACTERISTICS ON CONGESTED ROAD SECTIONS BASED ON REAL DATA STUDY

Mengyi Han, Ivan Topilin, Vladimir Zyryanov
World of transport and technological machines
Traffic Prediction and Management Techniques
article

MODELING OF TRAFFIC FLOW CHARACTERISTICS ON CONGESTED ROAD SECTIONS BASED ON REAL DATA STUDY

Mengyi Han, Ivan Topilin, Vladimir Zyryanov
article en

Abstract

This paper presents research results based on real traffic flow data. It analyzes the traffic flow characteristics of arterial, secondary, and local roads under congestion and reveals the spatial - temporal features of traffic congestion across roads of different functional classes. After mathematically processing raw data, including removing anomalies and filling in missing data, credible results were obtained. Significant differences in traffic congestion characteristics and model accuracy across road classes were found, with the best model fit achieved on secondary and local roads. For the first time, this study combines traffic congestion analysis with road hierarchy, offering a theoretical basis for congestion evaluation and identification.

World of transport and technological machinesVol. 89(2-3)
Sustainable cities and communities
Openalex Percentile: Top 79%
Traffic Prediction and Management Techniques
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MODELING OF TRAFFIC FLOW CHARACTERISTICS ON CONGESTED ROAD SECTIONS BASED ON REAL DATA STUDY — Mengyi Han, Ivan Topilin, et al. · World of transport and technological machines (2025) | TGRS Research Map | TGRS