Fractal dimensional analysis to reveal traffic flow dynamics as organic metabolism

As urban areas face rapid population and vehicle growth, understanding system dynamics is crucial for managing transportation congestion effectively. Utilizing fractal and metabolic concepts offers fresh perspectives on the behavior and efficiency of complex urban transportation systems. To understand the dynamics of congested traffic flows, we conducted fractal analysis on the traffic pattern in Seoul city with chronic congestion worldwide and investigated its potential for evaluating metabolic efficiency. Our rank and size fractal analysis revealed that Seoul's fractal dimension ranges from 6.7060 to 7.6801. The fractal dimension's curve, when plotted against traffic congestion, shows a peculiar symmetrical relationship. The linear correlation between fractal dimension and metabolic indicators suggests that fractal dimension could potentially serve as a novel metric for evaluating traffic flow efficiency. This study introduces new insights by integrating fractal and metabolic principles to understand traffic system dynamics, marking the first use of fractal analysis in traffic pattern evaluation.

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Publication Details

Journal
Transportmetrica A Transport Science
Published
2024-08-19
DOI
https://doi.org/10.1080/23249935.2024.2390009
Citations
2
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
0.37

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article

Fractal dimensional analysis to reveal traffic flow dynamics as organic metabolism

Madiha Bencekri, Ilho Jeong, Juhyeon Kwak, Sion Kim et al.
2 citations
Transportmetrica A Transport Science
Advanced Chemical Sensor Technologies
0.37
article

Fractal dimensional analysis to reveal traffic flow dynamics as organic metabolism

Madiha Bencekri, Ilho Jeong, Juhyeon Kwak, Sion Kim, Seungjae Lee, Minje Choi
article en
2 citations

Abstract

As urban areas face rapid population and vehicle growth, understanding system dynamics is crucial for managing transportation congestion effectively. Utilizing fractal and metabolic concepts offers fresh perspectives on the behavior and efficiency of complex urban transportation systems. To understand the dynamics of congested traffic flows, we conducted fractal analysis on the traffic pattern in Seoul city with chronic congestion worldwide and investigated its potential for evaluating metabolic efficiency. Our rank and size fractal analysis revealed that Seoul's fractal dimension ranges from 6.7060 to 7.6801. The fractal dimension's curve, when plotted against traffic congestion, shows a peculiar symmetrical relationship. The linear correlation between fractal dimension and metabolic indicators suggests that fractal dimension could potentially serve as a novel metric for evaluating traffic flow efficiency. This study introduces new insights by integrating fractal and metabolic principles to understand traffic system dynamics, marking the first use of fractal analysis in traffic pattern evaluation.

Transportmetrica A Transport ScienceVol. 22(1)
University of Seoul (KR), University of Oxford (GB)
Ministry of Education, Ministry of Land, Infrastructure and Transport, National Research Foundation of Korea, Korea Agency for Infrastructure Technology Advancement
Zero hunger
Openalex Percentile: Top 44%
Advanced Chemical Sensor Technologies
0.37
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Fractal dimensional analysis to reveal traffic flow dynamics as organic metabolism — Madiha Bencekri, Ilho Jeong, et al. · Transportmetrica A Transport Science (2024) | TGRS Research Map | TGRS