Research on Dynamic Models of Traffic Flow

Road factors significantly influence the safety conditions and driving patterns of individual vehicles, as well as the interactions among vehicles in traffic flow.Therefore, exploring the dynamic variation laws of core characteristic parameters of traffic flow holds important theoretical value.By designing uniform and non-uniform motion scenarios, this study quantifies the dynamic evolution process of density, speed, and intensity, and clarifies the formation conditions of congestion critical points.Through dynamic modeling and simulation, the dynamic coupling mechanism of traffic flow characteristic parameters is revealed, and the variation trends of flow and density under different road conditions are predicted, providing a quantitative basis for optimizing traffic organization, road network design, and control strategies.

Publication Details

Journal
International Journal of Computer Applications Technology and Research
Published
2025-07-30
DOI
https://doi.org/10.7753/ijsea1408.1005
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on Dynamic Models of Traffic Flow

International Journal of Computer Applications Technology and Research
Traffic Prediction and Management Techniques
article

Research on Dynamic Models of Traffic Flow

article en

Abstract

Road factors significantly influence the safety conditions and driving patterns of individual vehicles, as well as the interactions among vehicles in traffic flow.Therefore, exploring the dynamic variation laws of core characteristic parameters of traffic flow holds important theoretical value.By designing uniform and non-uniform motion scenarios, this study quantifies the dynamic evolution process of density, speed, and intensity, and clarifies the formation conditions of congestion critical points.Through dynamic modeling and simulation, the dynamic coupling mechanism of traffic flow characteristic parameters is revealed, and the variation trends of flow and density under different road conditions are predicted, providing a quantitative basis for optimizing traffic organization, road network design, and control strategies.

International Journal of Computer Applications Technology and Research
Strong
Openalex Percentile: Top 80%
Traffic Prediction and Management Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.