2007 Volume 7 Pages 586-599
Abstract: Under Intelligent Transportation Systems (ITS), real-time or daily operations of traffic management measures depend on long-term planning results, such as origin-destination (OD) trip distribution; however, results from current planning procedure are unable to provide fundamental data for dynamic analysis. In order to capture dynamic traffic characteristics, transportation planning models should play an important role to integrate basic data with real-time traffic management and control. In this research, an estimation framework for dynamic traffic assignment is proposed and field data is applied in estimation and calibration processes. In this framework, results from transportation planning projects in terms of Origin-Destination (OD) trips, are considered and extended to the dynamic models. DYNASMART, a simulation-assignment model, is applied to generate time-dependent flows. The results show high agreement between actual flows from vehicle detectors and simulated flows from DYNAMSART.