Variation in Speed Distributions with Local Truck Proportion in Mixed Freeway Traffic: A Shapley Decomposition

Variations in the overall speed distribution of mixed freeway traffic may reflect changes in vehicle-type weights, vehicle-type-specific speed distributions, or both. Using the highD vehicle trajectory dataset, we analyzed 50-m × 30-s spatiotemporal cells, with 60-s cells used for sensitivity analysis. Fixed-effects spline models estimated associations between local truck proportion (TP) and speed-distribution measures while adjusting for local traffic flow rate and recording–direction–location fixed effects. Standardized mixture distributions and a two-factor Shapley decomposition separated changes in the overall distribution into vehicle-type weight and within-type components. For the adjusted TP = 0.25 versus TP = 0.15 contrast, the differences in mean speed, the 25th percentile speed (P25), and the interquartile range were −2.51, −6.64, and +5.50 km/h, respectively, with the widening concentrated mainly on the lower-speed side. The directions of change were consistent at the 60-s scale. For mean speed, P25, the 50th percentile speed (P50), and the interquartile range, the vehicle-type weight component exceeded the within-type component in absolute magnitude at both temporal scales, as supported by recording–direction cluster bootstrap results. Distinguishing these components clarifies the statistical sources underlying changes in the overall speed distribution.

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Publication Details

Journal
Applied Sciences
Published
2026-10-14
DOI
https://doi.org/10.3390/app162010152
Primary Topic
Traffic control and management
Type
article
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article

Variation in Speed Distributions with Local Truck Proportion in Mixed Freeway Traffic: A Shapley Decomposition

Xiaomeng Wang, Bo Hu, Honghui Shen, Haidong Li
Applied Sciences
Traffic control and management
article

Variation in Speed Distributions with Local Truck Proportion in Mixed Freeway Traffic: A Shapley Decomposition

Xiaomeng Wang, Bo Hu, Honghui Shen, Haidong Li
article en

Abstract

Variations in the overall speed distribution of mixed freeway traffic may reflect changes in vehicle-type weights, vehicle-type-specific speed distributions, or both. Using the highD vehicle trajectory dataset, we analyzed 50-m × 30-s spatiotemporal cells, with 60-s cells used for sensitivity analysis. Fixed-effects spline models estimated associations between local truck proportion (TP) and speed-distribution measures while adjusting for local traffic flow rate and recording–direction–location fixed effects. Standardized mixture distributions and a two-factor Shapley decomposition separated changes in the overall distribution into vehicle-type weight and within-type components. For the adjusted TP = 0.25 versus TP = 0.15 contrast, the differences in mean speed, the 25th percentile speed (P25), and the interquartile range were −2.51, −6.64, and +5.50 km/h, respectively, with the widening concentrated mainly on the lower-speed side. The directions of change were consistent at the 60-s scale. For mean speed, P25, the 50th percentile speed (P50), and the interquartile range, the vehicle-type weight component exceeded the within-type component in absolute magnitude at both temporal scales, as supported by recording–direction cluster bootstrap results. Distinguishing these components clarifies the statistical sources underlying changes in the overall speed distribution.

Applied SciencesVol. 16(20)
Shanghai Urban Construction Design and Research Institute (Group) (CN), Shanghai Maritime University (CN)
Openalex Percentile: Top 17%
Traffic control and management
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