Cao, L., Thakali, L., Fu, L., & Donaher, G. (2013). Effect of Weather and Road Surface Conditions on Traffic Speed of Rural Highways. Proceedings of the 92nd Annual Conference, Washington D.C., Jan 13-17 cost of cialis pills buy brand name cialis cheap cialis in the usa .
This paper describes a study focusing on the impact of winter weather and road surface conditions on the average vehicle speed of rural highways with the intention of examining the feasibility of using traffic speed from traffic sensors as an indicator of the performance of winter road maintenance (WRM). Detailed data on weather, road surface conditions, and traffic over three winter seasons from two two-lane and two four-lane rural highways in Iowa, US, are used for this investigation. Three modeling techniques are applied and compared for modeling the relationship between traffic speed and various road weather and surface condition factors, including multivariate linear regression, artificial neural network (ANN), and time series analysis. The modeling results have confirmed the statistically strong relationship between traffic speed and road surface conditions, suggesting that speed could potentially be used as an indicator of bare pavement conditions and thus the performance of winter road maintenance operations. The analysis has also confirmed the expected effects of several weather variables including precipitation, visibility, temperature and wind speed. Lastly, the time series model developed could be a valuable tool for predicting real-time traffic conditions based weather forecast and planned maintenance operations.