To develop smart city infrastructure health condition monitoring, detection and diagnosis with the use of emerging technologies (e.g. smart phones, 2D imaging, 3D laser, LiDAR, UAV, GPS/GIS, crowdsourcing, voice recognition, etc.) with artificial intelligence, machine learning, computer vision, pattern recognition, signal processing, and multi-source/scale/frequency/resolution data fusion, and spatial-temporal analyses for innovatively providing smart location-based services. To identify roadway asset deficiencies, such as potholes, cracking, etc., and dangerous roadway spots/sections that require safety improvement, etc. To cost-effectively and sustainably preserve and manage the infrastructure assets (pavements, signs, etc.) at the right time, right location, and right method by analysis of multiple sensors at multiple scales.