, Research Associate Professor, Civil, Environmental and Geo-Engineering
Gary Davis, Professor, Civil, Environmental and Geo-Engineering
Nikolas Geroliminis, Former U of M Researcher, Civil, Environmental and Geo-Engineering
Travel time is a crucial variable both in traffic demand modeling and for measuring network performance. The objectives of this research focused on developing a methodology to characterize arterial travel time patterns by travel time distributions, proposing methods for estimating such distributions from static information and refining them with the use of historical GPS probe information?and, given such time and location-based distribution, using real-time GPS probe information to produce accurate path travel times and to monitor arterial traffic conditions. This project set the foundations for a realistic use of GPS probe travel time information and presented the proposed methodologies through two comprehensive case studies. The first study used the Next Generation SIMulation (NGSIM) Peachtree Street dataset, and the second used both real GPS and simulation data of Washington Avenue in Minneapolis, Minnesota.