On the Issue of Determining the Fractal Dimension of Urban Traffic Flows

A. V. Akhromeshin; V. A. Pyshnyi

doi:10.58168/mstt2025_7-12

August 15, 2025Open Access

On the Issue of Determining the Fractal Dimension of Urban Traffic Flows

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Key Points

Calculating the fractal dimension can enhance algorithms for traffic optimization and real-time decision-making.
In a study of urban traffic, fractal analysis indicated potential improvements in managing traffic lights and public transport routes.
Utilizing fractal analysis in traffic flows may lead to more efficient urban transport systems by improving predictability of congestion patterns.
Data from Tula Street's road network supported the practical use of fractal dimensions in analyzing urban traffic complexities.

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Implication

Fractal analysis reveals new insights for optimizing traffic flows in urban settings, suggesting improved algorithms for traffic management.

Abstract

The study identified the possibility of using fractal analysis to study traffic flows in the city, including for developing algorithms for predicting and optimizing traffic flow, making real-time decisions on traffic lights, public transport routes, etc. The fractal dimension of the Tula Street and road network in a specific area was calculated.

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Cite This Study

Akhromeshin et al. (2025) studied this question.

synapsesocial.com/papers/68af509bad7bf08b1ead875e https://doi.org/10.58168/mstt2025_7-12

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On the Issue of Determining the Fractal Dimension of Urban Traffic Flows

Key Points

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Implication

Abstract

Discussion

Cite This Study

On the Issue of Determining the Fractal Dimension of Urban Traffic Flows

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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