Work

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

Year: 2025

Type: article

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.

Source: Nonlinear Theory and Its Applications IEICE

DOI: 10.1587/nolta.16.583

Authors: Takatoshi Inaba, Takayuki Kimura

Institution: Nippon Institute of Technology

Language: English

Topic: Traffic control and management

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: diamond

Funders: Japan Society for the Promotion of Science, Research Institute of Electrical Communication, Tohoku University