(Traffic Inj Prev[TA])
3,194 results
  • Challenges with properly positioning children treated with a hip spica cast: Does the vehicle or cast type matter? [Journal Article]
    Traffic Inj Prev. 2026 Oct 16; :1-9. [Online ahead of print]Hasan L, Sheu J, … Brouwer KBTI
  • CONCLUSIONS: Hip spica casts substantially affect the ability to properly restrain children in passenger vehicles. Older forward-facing children were considerably more likely to achieve a proper restraint condition than younger rear-facing children. Cast type, vehicle interior geometry, and CSS design all influenced successful installation. Vehicles with greater interior space, such as minivans, and CSS designs accommodating cast geometry were more likely to allow proper restraint.
  • Publisher Full Text (DOI)
  • Consensus machine learning for interpretable road-user fatality risk analysis: Evidence from the Canadian National Collision Database. [Journal Article]
    Traffic Inj Prev. 2026 Oct 16; :1-11. [Online ahead of print]Xie S, Luong NDATI
  • CONCLUSIONS: The proposed CML framework consistently identified important predictors across multiple machine-learning algorithms and reporting years, providing a robust and interpretable approach to understanding fatal collision risk. Two of the defined categories, crash characteristics and traffic and environmental conditions, were identified as key feature sets for predicting collision fatalities. These findings provide evidence to support engineering, policy, enforcement, and education initiatives aimed at reducing fatal collisions while highlighting the value of consensus-based machine learning as a complementary decision-support tool for transportation safety planning.
  • Publisher Full Text (DOI)
  • Crash-type heterogeneity and cross-year transfer stability in injury severity modeling. [Journal Article]
    Traffic Inj Prev. 2026 Oct 16; :1-10. [Online ahead of print]Chen P, Yang J, … Guo HTI
  • CONCLUSIONS: The major risk factors and their relative importance differed across crash types, supporting crash-type-specific interpretation of injury severity. The predictor-by-year screening produced BH-adjusted q values above the prespecified threshold for all estimable blocks, while later-year discrimination, calibration, and high-risk case identification varied across models. Cross-year model performance should therefore be evaluated using probability calibration and high-risk-set stability in addition to AUC. The findings characterize the analyzed NAIS sample and provide model-conditioned evidence for crash-type-specific risk assessment.
  • Publisher Full Text (DOI)
  • Bone microarchitecture, density, and strength assessment in automotive trauma patients using HR-pQCT: a pilot study. [Journal Article]
    Traffic Inj Prev. 2026 Oct 15; :1-10. [Online ahead of print]Guerrero Sanchez GB, Cattell KL, … Weaver AATI
  • CONCLUSIONS: This study demonstrates the viability of HR-pQCT for characterizing bone microarchitecture, strength, and density in automotive trauma patients and identifying differences that might relate to fracture and bone-related comorbidities. These preliminary findings support incorporating HR-pQCT imaging into automotive crash research due to its ability to provide detailed cortical and trabecular microarchitectural measurements that are not available from clinical CT.
  • Publisher Full Text (DOI)
  • Spatiotemporal characteristics of traffic accidents on a high-volume expressway with closely spaced interchanges. [Journal Article]
    Traffic Inj Prev. 2026 Oct 14; :1-12. [Online ahead of print]Xu J, Zhang G, … Guo GTI
  • CONCLUSIONS: On the studied high-volume expressway, traffic accidents showed pronounced spatiotemporal clustering. Accident counts were positively associated with high-flow-event frequency in most analyzed direction-period combinations, while interchange weaving areas and variable-gradient sections contained notable accident concentrations. The findings may inform time- and location-specific crash-prevention measures on similar facilities, but their transferability should be evaluated using exposure and severity data from additional corridors.
  • Publisher Full Text (DOI)
  • An enhanced framework for automated vehicle crash severity prediction under unobserved heterogeneity using natural language processing and data augmentation. [Journal Article]
    Traffic Inj Prev. 2026 Oct 14; :1-9. [Online ahead of print]Lee S, Park N, … Park JTI
  • CONCLUSIONS: Although the article is based on historical traffic crash data, this article supports proactive AV safety assessment by transforming the crash narratives and structured variables into influencing insights on severe traffic crash risk. The integrated application of various modeling identifies latent crash patterns, that are often obscured in imbalanced AV crash datasets. These insights can help policymakers and manufacturers prioritize scenario-based testing, monitor recurring high-risk conditions involving road environments and design treatments for mixed-traffic environments. Rather than claiming methodological novelty or broad adaptability, this study demonstrates the practical value of combining established methods to analyze heterogeneous and imbalanced AV crash data.
  • Publisher Full Text (DOI)
  • Unraveling the spatial heterogeneity of urban traffic crashes: A GeoXGBoost and point-mapping SHAP framework. [Journal Article]
    Traffic Inj Prev. 2026 Oct 14; :1-10. [Online ahead of print]Zhao Y, Yang Y, … Zhou TTI
  • CONCLUSIONS: A deep interactive coupling mechanism of "place-exposure-function" is identified. Standalone static facilities and population scale constitute only potential hazards; however, when superimposed with high-load dynamic traffic flows or highly mixed functions, they trigger an abrupt, nonlinear surge in local crash probabilities. This framework provides a scientific basis for fine-grained, location-specific spatial interventions in urban traffic safety governance.
  • Publisher Full Text (DOI)
  • Quantifying drivers' visual strategies in tunnel approaches under foggy and nighttime conditions using saccadic measures. [Journal Article]
    Traffic Inj Prev. 2026 Oct 07; :1-10. [Online ahead of print]Han L, Zhou H, … Du ZTI
  • CONCLUSIONS: Foggy nighttime tunnel approaches induce a distinct visual-search strategy characterized by slower, more frequent, and spatially localized gaze shifts. Under compounded adverse conditions, drivers appear to concentrate visual sampling on the central forward roadway area while experiencing reduced efficiency in gaze reorientation. These findings highlight the importance of continuous visual guidance, enhanced entrance delineation, advance warnings, and weather-responsive safety management for tunnel approaches under foggy nighttime conditions.
  • Publisher Full Text (DOI)