This research project investigated advanced safety analysis methodologies for drivers’ sight distance based on high resolution data acquired using lidar (light detection and ranging) technology. Sight distance analyses require careful and detailed field measurements to facilitate proper engineering decision making regarding ...

An assessment of unmanned aircraft systems (UAS) concluded that current, off-the-shelf UAS aircraft and cameras can be effective for creating the digital surface models used to evaluate rock-slope stability and landslide risk along transportation corridors. The imagery collected with UAS can be processed using a photogrammetry ...

Driving Simulators are advanced tools that can address many research questions in transportation. Recently they have been used to advance the practice of transportation engineering, specifically signs, signals, pavement markings, and most powerfully to examine the safety and efficiency of alternative transportation solutions. ...

The lidar visualization technique developed by this project enables highway managers to understand changes in slope characteristics along highways. This change detection and analysis can be the basis of informed decisions for slope inspection and remediation. Mitigating unstable slopes and their associated hazards reduce ...