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Showing 1 - 20 results of 155 for search '(( significant increased crash ) OR ( significant facies decrease ))', query time: 0.26s Refine Results
  1. 1
    SHAP summary plot of statistically significant variables.

    SHAP summary plot of statistically significant variables. by Md Nabil Zawad (22170031)

    Published 2025
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  2. 2
    Prediction of crashes over previous three years.

    Prediction of crashes over previous three years. by Wanli Han (11785478)

    Published 2021
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  3. 3
    Light condition Tukey test results showing that there are significantly more wildlife-vehicle collisions occurring on dark, unlit roads in North Dakota.

    Light condition Tukey test results showing that there are significantly more wildlife-vehicle collisions occurring on dark, unlit roads in North Dakota. by Amalie Victoria Jørgensen (22493031)

    Published 2025
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  4. 4
    Methodological workflow of crash severity modeling.

    Methodological workflow of crash severity modeling. by Md Nabil Zawad (22170031)

    Published 2025
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  5. 5
    The percentage of reported wildlife-vehicle collisions (WVC) that occurred within three different speed limit categories. The results are presented based on four different WVC datasets (all-years, pre-2013, post-2013, and fatalities and injuries) and compared to the actual proportion of North Dakota state highway roads within each posted speed limit category (Proportion of NDDOT administered roads).

    The percentage of reported wildlife-vehicle collisions (WVC) that occurred within three different speed limit categories. The results are presented based on four different WVC data... by Amalie Victoria Jørgensen (22493031)

    Published 2025
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  6. 6
    Tukey test results based on road type from reported wildlife-vehicle collisions in North Dakota.

    Tukey test results based on road type from reported wildlife-vehicle collisions in North Dakota. by Amalie Victoria Jørgensen (22493031)

    Published 2025
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  7. 7
    Reported wildlife-vehicle collisions in North Dakota shown by the total number and type of wildlife occurring in North Dakota grouped across all study years (2005-2022), pre-2013, post-2013, and fatalities and injuries (2005-2022) reported accidents to capture the changes in reporting requirements. Note the axis break to best demonstrate the magnitude of difference in the deer numbers compared to other species groups.

    Reported wildlife-vehicle collisions in North Dakota shown by the total number and type of wildlife occurring in North Dakota grouped across all study years (2005-2022), pre-2013,... by Amalie Victoria Jørgensen (22493031)

    Published 2025
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  8. 8
    Mean number (± 95% confidence intervals) of annual wildlife-vehicle collision across seasons in North Dakota during the (a) all-years (2005-2022), the (b) pre-2013 survey period (2005-2012), and (c) the fatalities and injuries data showing a greater number of crashes occur in the fall (September through November) season.

    Mean number (± 95% confidence intervals) of annual wildlife-vehicle collision across seasons in North Dakota during the (a) all-years (2005-2022), the (b) pre-2013 survey period (2... by Amalie Victoria Jørgensen (22493031)

    Published 2025
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  9. 9
    Summary statistics including total number of crashes reported, the annual average, and standard deviation among the four datasets used.

    Summary statistics including total number of crashes reported, the annual average, and standard deviation among the four datasets used. by Amalie Victoria Jørgensen (22493031)

    Published 2025
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  10. 10
    Statistical results summarized to show the test statistic, degrees of freedom and the p-values from each factor based on reported wildlife-vehicle collisions in North Dakota.

    Statistical results summarized to show the test statistic, degrees of freedom and the p-values from each factor based on reported wildlife-vehicle collisions in North Dakota. by Amalie Victoria Jørgensen (22493031)

    Published 2025
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  11. 11
    Confusion matrix.

    Confusion matrix. by Md Nabil Zawad (22170031)

    Published 2025
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  12. 12
    Model comparison of ensemble learners.

    Model comparison of ensemble learners. by Md Nabil Zawad (22170031)

    Published 2025
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  13. 13
    Animal-vehicle crash count per region (The shapefile is reprinted from SimpleMaps.com under a CC BY 4.0.).

    Animal-vehicle crash count per region (The shapefile is reprinted from SimpleMaps.com under a CC BY 4.0.). by Md Nabil Zawad (22170031)

    Published 2025
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  14. 14
    SHAP dependence plot: (a) speed bump & road type, (b) side fencing & road type.

    SHAP dependence plot: (a) speed bump & road type, (b) side fencing & road type. by Md Nabil Zawad (22170031)

    Published 2025
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  15. 15
    Summary statistics of the AVC dataset.

    Summary statistics of the AVC dataset. by Md Nabil Zawad (22170031)

    Published 2025
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  16. 16
    SHAP dependence plot: (a) surface condition & road type, (b) road geometry & vacation.

    SHAP dependence plot: (a) surface condition & road type, (b) road geometry & vacation. by Md Nabil Zawad (22170031)

    Published 2025
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  17. 17
    Estimation results of RPLM model.

    Estimation results of RPLM model. by Md Nabil Zawad (22170031)

    Published 2025
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  18. 18
    SHAP dependence plot: (a) road type & length of road, (b) number of lanes & length of road.

    SHAP dependence plot: (a) road type & length of road, (b) number of lanes & length of road. by Md Nabil Zawad (22170031)

    Published 2025
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  19. 19
    Results of ordered probit and logit model on injury severity.

    Results of ordered probit and logit model on injury severity. by Junhan Cho (1795105)

    Published 2025
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  20. 20
    Marginal effects results for mixed effects ordered probit and ordered logit models.

    Marginal effects results for mixed effects ordered probit and ordered logit models. by Junhan Cho (1795105)

    Published 2025
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