Multi-dimensional indicators evaluation of rutting based on grey-AHP

Rutting on a road directly impacts the road's smoothness and can create hazardous driving conditions, posing a serious threat to traffic safety. At present, depth has been the only indicator to evaluate the serious degree of rutting and is widely used at home and abroad. However, this single rutting depth indicator, which carries limited information, is unable to fully reflect the characteristics of the rutting morphology, making it difficult to evaluate the influence of rutting on traffic safety effectively. This paper puts forward multi-dimensional indicators considering travel safety via analyzing rutting cross-sectional morphology by the data measured through a 13-sensor rut bar. An evaluation model combining Grey-AHP is established and the results of onsite rutting data show that multi-dimensional indicators give a true and rational evaluation of rutting's impact on travel safety.