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Dynamic OD Estimation with Hybrid Discrete Choice of Traveler Behavior in Transportation Network  

Kim, Chae-Man (경기개발연구원 교통정책연구부)
Jo, Jung-Rae (명지대학교 교통공학과)
Publication Information
Journal of Korean Society of Transportation / v.24, no.6, 2006 , pp. 89-102 More about this Journal
Abstract
The purpose of this paper is to develop a dynamic OD estimating model to overcome the limitation of depicting teal situations in dynamic simulation models based on static OD trip. To estimate dynamic OD matrix we used the hybrid discrete choice model(called the 'Demand Simulation Model'), which combines travel departure time with travel mode and travel path. Using this Demand Simulation Model, we deduced that the traveler chooses the departure time and mode simultaneously, and then choose his/her travel path over the given situation In this paper. we developed a hybrid simulation model by joining a demand simulation model and the supply simulation model (called LiCROSIM-P) which was Previously developed. We simulated the hybrid simulation model for dependent/independent networks which have two origins and one destination. The simulation results showed that AGtt(Average gap expected travel time and simulated travel time) did not converge, but average schedule delay gap converged to a stable state in transportation network consisted of multiple origins and destinations, multiple paths, freeways and some intersections controlled by signal. We present that the hybrid simulation model can estimate dynamic OD and analyze the effectiveness by changing the attributes or the traveler and networks. Thus, the hybrid simulation model can analyze the effectiveness that reflects changing departure times, travel modes and travel paths by demand management Policy, changing network facilities, traffic information supplies. and so on.
Keywords
Dynamic O/D Trip; Simulation Model. Departure Time/Mode Choice; Route Choice; Prefer Arrival Time;
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