You have no items in your shopping cart.
ABSTRACT
Road crashes are three times more likely to occur on two-lane rural roadways with horizontal bends as opposed to tangent portions. The resulting crash frequency forecasts are then altered using a crash modification factor (CMF) that takes the curve length, radius, and occurrence of a spiral transition into account as independent factors. According to several research, horizontal bends are where most traffic accidents happen. Accident risk is substantially higher near horizontal bends than it is in other parts of the road. In this study, the geometric feature is one of many variables examined. Because they are less likely to deviate from driver expectations, curves that are in close proximity should have fewer crashes than ones that are separated. The objective of this study is to develop a high-quality CMF for horizontal curves on BeninLagos Road, that takes into consideration the proximity of neighboring geometric elements using the most statistically rigorous modeling technique available, which reduces the potential for bias in the estimate of the CMF and provides a standard error that can be used to estimate the CMF uncertainty. This CMF is estimated using eleven curves of crash data obtained from the road segment. This extensive data set contains details on the shape of the road, the radius of the curve, and the length of the curve. The findings suggest that in order accurately predict the incidence of total and fatal and injury collisions on horizontal curves, curve length, traffic volume, and degree of curvature must all be taken into account. While the length of the curve and traffic numbers reduce projected collision frequency, the existence of a horizontal curve and degree of curvature increase crash frequency. The thesis suggests using the crash modification functions that resulted to assess safety along Benin-Lagos Road.
