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  1. 1021

    How Data Imputation Affects Crash Modeling Results by Yemi Adediji, Robert Noland

    Published 2020-10-01
    “…Results were mixed, showing notable changes for some variables. This could potentially lead to bad decisions in practice on how to improve road safety.…”
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    Dynamic spatiotemporal graph network for traffic accident risk prediction by Pengcheng Zhang, Wen Yi, Yongze Song, Penggao Yan, Peng Wu, Ammar Shemery, Keith Hampson, Albert P. C. Chan

    Published 2025-12-01
    “…The dynamic learning of spatial correlations, combined with the integration of road characteristics and contextual variables, significantly enhances the accuracy of traffic accident predictions. …”
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    SOMATIC AND PSYCHIATRIC MORBIDITY OF ELDERLY DRIVERS KILLED IN MOTOR VEHICLE ACCIDENTS IN FINLAND DURING 22-YEAR FOLLOW-UP by JENNY TYNI, PIRKKO RIIPINEN, HELINÄ HAKKO, NIINA SIHVOLA, LIISA KANTOJÄRVI

    Published 2024-11-01
    “…Materials and methods: We used data from three nationwide registers (Register of road and off-road accidents investigated by Finnish Road Accident Investigation Teams, Care Registers for Health Care and Cause of death register) to analyse somatic and psychiatric morbidity associated with fatal motor vehicle accidents (FMVA) involving elderly drivers in Finland. …”
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    An innovative mathematical model for integrated traffic flow optimization in organized industrial zones by Hayri Ulvi, Mehmet Akif Yerlikaya, Kürşat Yildiz

    Published 2025-08-01
    “…Key components include decision variables for vehicle flows across road sections, robust capacity constraints for roads and intersections, and weighted parameters to balance objectives. …”
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  16. 1036

    Method for Assessing Numbness and Discomfort in Cyclists’ Hands by Flavia Marrone, Nicole Sanna, Giacomo Zanoni, Neil J. Mansfield, Marco Tarabini

    Published 2025-07-01
    “…Road irregularities generate vibrations that are transmitted to cyclists’ hands. …”
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    Development of over 30-years of high spatiotemporal resolution air pollution models and surfaces for California by Jason G. Su, Eahsan Shahriary, Emma Sage, John Jacobsen, Katherine Park, Arash Mohegh

    Published 2024-11-01
    “…Weather conditions and land use, such as commercial areas and water bodies, influenced O3 concentrations.To extend the prediction of daily NO2, PM2.5, and O3 to 1989, models were developed for predictors such as daily road traffic, normalized difference vegetation index (NDVI), Ozone Monitoring Instrument (OMI)–NO2, monthly AOD, and OMI-O3. …”
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