<p>Relation between the flow and the number of crashes per car and per unit time for and two values of . In the right panel (B), follow the direction of the arrow when reading the description in the text.</p
<p>Lower processing speed values were associated with increasing probability of being involved in a ...
Correlation between population, land area, road area, number of registered vehicles, population dens...
<p>Correlations between the viscoelastic parameters on one hand and the METAVIR scores and the perce...
<p>This figure uses vertical bars to show the association between predictive factors and crash outco...
<p>*** significant at 0.001 level.</p><p>The correlation between the population density and the dens...
<p>Each cell <i>C<sub>ij</sub></i> denotes the Pearson’s correlation in daily pedestrian flows betwe...
<p>Results present <i>r</i> value;</p><p>*<i>p</i><0.05 from Pearson correlation. The association be...
This work analyzes the relationship between crash frequency N (crashes per hour) and exposure Q (car...
Illustrating the distribution of network variables and their correlations with the raw flow paramete...
Through accident prediction models, researchers have identified correlation between crash risk and m...
<p>Correlations (r) between the various fluid volume ratios and the individual MIA components and pl...
<p>Observed flow-density and crash rate-density relationships for urban roads reproduced from [<a hr...
The relationship between the initial number of infected passengers and the passenger load factor.</p
Correlation coefficient and p value for nationwide, region, and prefecture with significant inverse ...
Correlations among the MDSI, the BFI, the DBQ, accidents, penalty points and fines.</p
<p>Lower processing speed values were associated with increasing probability of being involved in a ...
Correlation between population, land area, road area, number of registered vehicles, population dens...
<p>Correlations between the viscoelastic parameters on one hand and the METAVIR scores and the perce...
<p>This figure uses vertical bars to show the association between predictive factors and crash outco...
<p>*** significant at 0.001 level.</p><p>The correlation between the population density and the dens...
<p>Each cell <i>C<sub>ij</sub></i> denotes the Pearson’s correlation in daily pedestrian flows betwe...
<p>Results present <i>r</i> value;</p><p>*<i>p</i><0.05 from Pearson correlation. The association be...
This work analyzes the relationship between crash frequency N (crashes per hour) and exposure Q (car...
Illustrating the distribution of network variables and their correlations with the raw flow paramete...
Through accident prediction models, researchers have identified correlation between crash risk and m...
<p>Correlations (r) between the various fluid volume ratios and the individual MIA components and pl...
<p>Observed flow-density and crash rate-density relationships for urban roads reproduced from [<a hr...
The relationship between the initial number of infected passengers and the passenger load factor.</p
Correlation coefficient and p value for nationwide, region, and prefecture with significant inverse ...
Correlations among the MDSI, the BFI, the DBQ, accidents, penalty points and fines.</p
<p>Lower processing speed values were associated with increasing probability of being involved in a ...
Correlation between population, land area, road area, number of registered vehicles, population dens...
<p>Correlations between the viscoelastic parameters on one hand and the METAVIR scores and the perce...
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