Abstract
The goal of this paper is to develop the freeway Origin-Destination (OD) demand estimation model using real-time traffic data collected from Freeway Traffic Management System (FTMS). Although it is necessary for the dynamic OD demand between on and offramps to perform more effective traffic management strategies, Automated Vehicle Identification (AVI) systems are unable to assist to collect OD demand due to the limitation of construction and maintenance costs. The existing models use the simulation model to get a link distribution ratio of dynamic traffic flow by time process. It is difficult to load at FTMS and estimate a dynamic OD between on and off-ramps. The formulation of methodology proposed in this paper includes traffic flow techniques and dynamic OD demand estimation techniques using a real-time detector data. The proposed methodology is evaluated by using the real-time data of NAEBU Ring Road, a circulatory freeway system in Seoul, South Korea.
