Relationships and Characteristics of Self-Organized Vehicle Groups and Other Remaining Vehicles in Disordered Heterogeneous Traffic

This study examines the relationships between self-organized vehicle groups and remaining vehicles (referred to as "remains") within heterogeneous, disordered traffic flows, and compares their characteristics. The findings reveal that leader–follower relationships are less prevalent among the remains, whereas connections with grouped vehicles are more frequent in both groups and remains. Additionally, groups form longer leader-follower networks with diverse pathways for the propagation of acceleration and deceleration waves. Furthermore, the results suggest that a typical vehicle platoon comprises a sparse distribution of remains interspersed around longer groups. Moreover, owing to their extended network lengths and varied densities, groups are likely to feature amplified acceleration and deceleration waves. The findings also suggest that some remains may gradually disperse, hindering the backward propagation of waves. Thus, this study provides novel insights into the formation and dynamics of groups and remains in disordered traffic, with the aim of enhancing traffic-flow modeling.

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Publication Details

Journal
Collective Dynamics
Published
2025-04-24
DOI
https://doi.org/10.17815/cd.2025.187
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Relationships and Characteristics of Self-Organized Vehicle Groups and Other Remaining Vehicles in Disordered Heterogeneous Traffic

Akihito Nagahama, Kenji Tanaka, Katsuhiro Nishinari
Collective Dynamics
Traffic Prediction and Management Techniques
article

Relationships and Characteristics of Self-Organized Vehicle Groups and Other Remaining Vehicles in Disordered Heterogeneous Traffic

Akihito Nagahama, Kenji Tanaka, Katsuhiro Nishinari
article en

Abstract

This study examines the relationships between self-organized vehicle groups and remaining vehicles (referred to as "remains") within heterogeneous, disordered traffic flows, and compares their characteristics. The findings reveal that leader–follower relationships are less prevalent among the remains, whereas connections with grouped vehicles are more frequent in both groups and remains. Additionally, groups form longer leader-follower networks with diverse pathways for the propagation of acceleration and deceleration waves. Furthermore, the results suggest that a typical vehicle platoon comprises a sparse distribution of remains interspersed around longer groups. Moreover, owing to their extended network lengths and varied densities, groups are likely to feature amplified acceleration and deceleration waves. The findings also suggest that some remains may gradually disperse, hindering the backward propagation of waves. Thus, this study provides novel insights into the formation and dynamics of groups and remains in disordered traffic, with the aim of enhancing traffic-flow modeling.

Collective DynamicsVol. 10
University of Electro-Communications (JP), The University of Tokyo (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 92%
Traffic Prediction and Management Techniques
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