In light of the newly released AASHTO cracking protocol PP67-10 and high quality cracking data produced from a novel 3D 1 mm pavement data collection and automated analysis system, this paper develops an index system for overall cracking evaluation. The Analytical Hierarchy Process (AHP) is employed to establish a general framework and fuzzy set theory is adopted to convert actual severity and intensity measures into normalized scores. Multiple data combination techniques are applied for data aggregation. The ultimate product of this system, a single number cracking index representing the overall cracking condition, can be used to rank pavements and prioritize crack-oriented maintenance and rehabilitation projects. Furthermore, cracking indices for different pavement zones can also be derived from the system, which would be significant to examine the pavement failure mechanism. A case study containing 10 pavement sections is performed to demonstrate the applicability of this proposed evaluation system.
Improving flood risk map accuracy using high‐density LiDAR data and the HEC‐RAS river analysis system: A case study from north‐eastern Romania