Lead presenter: Wei Zhang, USDOT/FHWA
Biography:
Dr. Wei Zhang is the Program Manager of Intersection Safety R&D at FHWA Office of Safety R&D. Over the past 13.5 years, he has been conducting research and field evaluation of various types of innovative intersection and interchange designs. He oversaw the implementation and field evaluation of over 50 alternative intersection/interchange design projects (DDI, DLI CFI, RCUT, mini-roundabout) in more than 20 states, while 20 more field evaluation projects are underway. Among the projects evaluated, 15 were mini-roundabouts located in eight different states. In 2015, he initiated a small business innovation research project that led to the development of a modular mini-roundabout product. Beside alternative intersection designs, traffic simulation, and safety investigation, Dr. Zhang also work extensively on big data research and visualization, he has developed multiple software tools that allow practitioners to analyze large crash and traffic datasets with ease to quickly identify high crash locations, predict future traffic crashes at any location based on trends detected in the big datasets. Prior to his current job, Dr. Zhang worked 2 years at FHWA New Mexico division, 3 years in IT Consulting in private sector, and 5 years at MnDOT. He received Ph.D. degree from UMN in 1996.
Using Drones for Various Types of Traffic and Driver Behavior Studies
Description
Abstract:
Many types of traffic studies require collecting field data. From traditional intersection turning movement count, travel time, and approach delay, to more advanced studies such as driver conflicts, origin-destination, and vehicle trajectory, etc. Many technologies are available to collect the above data; cost, accuracy, and power run duration are the main factors affection the selection of technologies for specific study. This presentation highlights FHWA Intersection Safety R&D’s experience of collecting field traffic data at large intersections/interchanges. The data collection sites included diverging diamond interchange, displaced left-turn interchange, continuous flow intersection, and multi-lane roundabouts, etc. The technologies used evolved from traditional on-the-ground technologies, which often fill a cargo van full of equipment and auxiliaries, to aerial surveys using helicopters, and recently drones. Comparing to traditional technologies, aerial survey offers the advantages of less personnel, larger coverage area (field of view), no disturbance to traffic flow, and often lower cost. The types of traffic data that can be derived from aerial surveys includes peak hour intersection turning movement count, spot speed, travel time between designated origins and destination pairs, queue length by approach, and the origin-destination matrix of a regional roadway network, etc. With aerial survey, management of raw data also becomes significantly simpler. Stunning quality videos and imagery can be obtained economically from drone based cameras, making them ideal material for illustrating the operating principle of various types of innovative intersection/interchange designs. The author will discuss the tremendous opportunities provided by drone affiliated technologies in various types of traffic and driver behavior studies, as well as the limitation of this technology under current regulation.