摘要: |
Road networks require regular inspection and repair to maintain their performance and function. Several techniques are currently in practice for inspecting roadway performance for presence of cracks, potholes, and other distress such as: inspectors that visually judge the road conditions, specialized vehicles that measure distress with laser devices and camera, and citizens that report their observations. These techniques, however, are inefficient, labor intensive, and expensive. The goal of this research work is to study the use of currently available low-cost sensors such as global positioning systems (GPS), gyroscopes, accelerometer, noise recorders, and cellphones to automate inspection of roadway pavement conditions. The outcome of this research work is expected to reduce inspection cost and enable the capability of generating more frequent maps of roadway pavement conditions. Furthermore, authorities will be able to allocate available funds more efficiently to improve existing road performance and function based on more up-to-date conditions of existing transportation networks. |