AbstractMapping Traffic Patterns with Automated Vehicle DetectionTrack: Transportation Author Traffic modeling traditionally relies on a combination of analyst assumptions and imperfect measures such as loop detector readings or manual license plate surveys. Until very recently, there has been no method in place to automatically identify vehicles as they move through the street network. New technologies are now available that allow vehicle tracking while preserving individual privacy. ArcGIS and Network Analyst can be used to distill detected vehicle time point data into easily absorbed maps and tables. This information can be used to identify average travel times, travel time reliability, commuting volumes, origin-destination patterns, signal timing evaluation and any number of other factors. These analyses can offer planners, engineers and policy makers a much deeper look into real world conditions. New insights into system performance and actual travel patterns will lead to more effective planning and project prioritization. Darryl dePencier Kittelson & Associates 110 E. Broward Blvd Suite 2410 Fort Lauderdale, Florida 33301 United States Phone: 954-653-5624 E-mail: ddepencier@kittelson.com Li Jin Kittelson & Associates 225 E Robinson St #450 Orlando, Florida 32801 United States Phone: 407-540-0555 E-mail: ljin@kitteslson.com |