Effective routing method using congestion information for the next generation vehicles in transportation networks

Traffic congestion is a global social problem that significantly impacts both economic and environmental aspects. Therefore, addressing traffic congestion has become an urgent issue. In recent years, connected vehicles have been highlighted as a promising solution to traffic congestion. However, existing routing methods using connected vehicles rely only on localized traffic information, resulting in suboptimal routes. To address this issue, we propose a routing method that utilizes a wide range of congestion information in this study. Numerical experiments demonstrated that the proposed method effectively alleviates traffic congestion compared to conventional methods.

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Publication Details

Journal
Nonlinear Theory and Its Applications IEICE
Published
2025-01-01
DOI
https://doi.org/10.1587/nolta.16.583
Primary Topic
Vehicular Ad Hoc Networks (VANETs)
Type
article
Field-Weighted Citation Impact
0.00

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article

Effective routing method using congestion information for the next generation vehicles in transportation networks

Takayuki Kimura, T. Inaba
Nonlinear Theory and Its Applications IEICE
Vehicular Ad Hoc Networks (VANETs)
article

Effective routing method using congestion information for the next generation vehicles in transportation networks

Takayuki Kimura, T. Inaba
article en

Abstract

Traffic congestion is a global social problem that significantly impacts both economic and environmental aspects. Therefore, addressing traffic congestion has become an urgent issue. In recent years, connected vehicles have been highlighted as a promising solution to traffic congestion. However, existing routing methods using connected vehicles rely only on localized traffic information, resulting in suboptimal routes. To address this issue, we propose a routing method that utilizes a wide range of congestion information in this study. Numerical experiments demonstrated that the proposed method effectively alleviates traffic congestion compared to conventional methods.

Nonlinear Theory and Its Applications IEICEVol. 16(3)
Nippon Institute of Technology (JP)
Japan Society for the Promotion of Science, Research Institute of Electrical Communication, Tohoku University
Openalex Percentile: Top 87%
Vehicular Ad Hoc Networks (VANETs)
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