Abstract In the United States, State Departments of Transportation (DOTs) and other public sector owners of highway infrastructure have been facing poor road conditions, significant funding shortfalls, and increasing traffic congestion over the past decade. In response to the challenge, the U.S. road renewal industry is developing partnerships to explore ways to improve roadway performance while taking into consideration the overall lifecycle costs of rehabilitating countless miles of existing roads. To identify those pavement strategies that will likely have the most cost-effective and highest performance in the U.S. industry, the researchers developed a technology analysis framework that consisted of two analyses: economic and non-economic analyses. Furthermore, four pavement strategies that industry experts believe will dominate the U.S. road renewal industry during the next ten years were analyzed, including: Dense-Grade Hot Mix Asphalt (HMA), Stone Matrix Asphalt (SMA), Open Graded Friction Course (OGFC), and Warm Mix Asphalt (WMA). In the study, our analysis demonstrated the extent to which the four pavement strategies impact the quality and costs associated with highway construction and maintenance during the life of each pavement strategy. The analyses resulted in rankordering the pavements based on their economic and non-economic performance. The research ultimately combined the economic and non-economic benefits to achieve an overall rank-ordering of efficient pavement strategies as follows: (a) Stone Matrix Asphalt (SMA), (b) Dense-Grade Hot Mix Asphalt (HMA), (c) Warm Mix Asphalt (WMA), and (d) Open-Graded Friction Course (OGFC).
Comparative simulation analysis of pavement technology for a decision support system in the U.S. road renewal industry
KSCE Journal of Civil Engineering ; 18 , 4 ; 920-926
2014-04-25
7 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Geographic Information System Decision Support System for Pavement Management
Online Contents | 1994
|Geographic Information System Decision Support System for Pavement Management
British Library Conference Proceedings | 1994
|