Traffic Flow Modeling and Model Parameter Identification – A Case Study

J.-S. Yang (USA)


Traffic flow model; model calibration; simulation.


Congestion is one of the most serious problems in highway traffic. The availability of adequate mathematical models describing traffic flow phenomena is a prerequisite for application of control theory to various traffic control problems. In this paper, we applies the Papageorgiou’s model to study the traffic flow on a small section of State Highway 194 in the city of Duluth, Minnesota. Due to the poor initial results, we revise the model while retaining key logical elements. Based on the real data collected by the RTMS traffic detector, we identify the revised model parameter values which give the best coincidence between the model and the real process. Our simulation results show reasonably good traffic flow estimation with acceptably small error.

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