Laura E Lunardi, Richard K Le Leu, Lisa A Matricciani, Qunyan Xu, Anne Britton, Shilpanjali Jesudason, Paul N Bennett
Patient activation in advanced chronic kidney disease: a cross-sectional study
Journal of nephrology
black ice phenomenon occurs abruptly owing freezing rain difficult drivers identify mirrors color road effectively managing occurrence unforeseen accidents caused black ice requires predicting probability using spatial weather traffic factors formulating appropriate countermeasures among factors weather traffic exhibit highest levels uncertainty address uncertainties study conducted using monte carlo simulation based random values predict probability black ice accidents individual road points analyze trigger factors numerically modeled black ice accidents visualized simulation results geographical information system gis employing sensitivity analysis another feature monte carlo simulations analyze factors trigger black ice accidents monte carlo simulation allowed us map black ice accident occurrences road point gis average black ice accident probability found 00058 standard deviation 0001 sensitivity analysis using monte carlo simulations identified wind speed air temperature angle significant triggers black ice accidents sensitivities 0354 0270 0203 respectively predicted probability black ice accidents per road section analyzed primary triggers black ice accidents scientific contribution study lies development method beyond simple road temperature predictions evaluating risk black ice occurrences subsequent accidents employing monte carlo simulations probability black ice accidents predicted accurately decoupling meteorological traffic factors time results serve reference government agencies including road traffic authorities identify accidentprone spots devise strategies focused primary triggers black ice accidents