Macroscopic Traffic Flow Model for Estimation of Real-Time Traffic State along Signalized Arterial Corridor

The estimation of the real-time traffic state of signalized arterial corridors is a challenging, yet insufficiently studied field compared with that of the freeway network. This study developed an innovative traffic flow model for signalized arterials that considered the impact of signal controls. The proposed traffic flow model was then combined with a particle-filtering technique to integrate the field measurements. A comprehensive numerical investigation with a real world data set showed that the proposed model could produce reliable estimates of link density, speed, and queue length at intersections with an acceptable degree of accuracy.

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