The influence of vehicle type composition on heterogeneous traffic flow

To better understand heterogeneous trafic with weak lane discipline (2D mixed trafic), it is essential to investigate the effects of vehicle type composition (e.g., motorcycles, cars) on trafic characteristics. Using actual trafic data collected in Mumbai, India, this study examines the macroscopic characteristics of trafic with various proportions of different vehicle types, employing fundamental diagrams (FDs) based on passenger car unit (PCU) values. Three different PCU methods were used to ensure the consistency of the results. The findings reveal that for all vehicle types, an increase in the proportion of any specific vehicle type corresponds to a higher trafic volume in the free-flow phase. This tendency remains consistent even when using other PCU methods, demonstrating the robustness of the results. These findings suggest that unbalanced distributions in the proportions of vehicle type enhance trafic capacity.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-09-12
DOI
https://doi.org/10.1051/epjconf/202533403001/pdf
Primary Topic
Traffic control and management
Type
article
Field-Weighted Citation Impact
0.00
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article

The influence of vehicle type composition on heterogeneous traffic flow

Akihito Nagahama, Claudio Feliciani, Katsuhiro Nishinari, Nichika Asai et al.
Springer Link (Chiba Institute of Technology)
Traffic control and management
article

The influence of vehicle type composition on heterogeneous traffic flow

Akihito Nagahama, Claudio Feliciani, Katsuhiro Nishinari, Nichika Asai, Xiaolu Jia
article en

Abstract

To better understand heterogeneous trafic with weak lane discipline (2D mixed trafic), it is essential to investigate the effects of vehicle type composition (e.g., motorcycles, cars) on trafic characteristics. Using actual trafic data collected in Mumbai, India, this study examines the macroscopic characteristics of trafic with various proportions of different vehicle types, employing fundamental diagrams (FDs) based on passenger car unit (PCU) values. Three different PCU methods were used to ensure the consistency of the results. The findings reveal that for all vehicle types, an increase in the proportion of any specific vehicle type corresponds to a higher trafic volume in the free-flow phase. This tendency remains consistent even when using other PCU methods, demonstrating the robustness of the results. These findings suggest that unbalanced distributions in the proportions of vehicle type enhance trafic capacity.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 31%
Traffic control and management
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