Applicability Analysis of an Extended METANET Model in Traffic-State Prediction for Congested Freeway Corridors
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 144, Issue 9
Abstract
Macroscopic traffic flow models are often applied as prediction models in proactive traffic control strategies. For model calibration and validation, existing tests have been conducted on simple freeway corridors, meaning that model performance is still unknown for complicated corridors with multiple potential bottlenecks. To address this research gap, this study firstly proposes extensions for a common model from the literature. The fundamental diagram of this model is extended to adapt it to variations in discharge flow that occur when multiple bottlenecks are activated on complex corridors. Subsequently, the extended model is calibrated with traffic data from an actual freeway corridor, called Whitemud Drive, in Edmonton, Canada. The calibration is conducted using segment-specific and global parameters, respectively. Then the extended model is validated to confirm its applicability in real-life conditions. It is concluded that the extended model can predict traffic-state evolutions under complex traffic conditions.
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Acknowledgments
The authors would like to thank the traffic operation group at the City of Edmonton for supporting this study. This research work was jointly supported by the Natural Sciences and Engineering Research Council (NSERC) of Canada, National Natural Science Foundation of China (61703236), China Postdoctoral Science Foundation Funded Project (2017M612275), and Shandong Provincial Natural Science Foundation, China (ZR2017QF014). The contents of this paper reflect the views of the authors, who are responsible for the facts and the accuracy of the data presented herein. The contents do not necessarily reflect the official views or policies of the City of Edmonton. This paper does not constitute a standard, specification, or regulation.
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Journal of Transportation Engineering, Part A: Systems
Volume 144 • Issue 9 • September 2018
Copyright
©2018 American Society of Civil Engineers.
History
Received: Mar 21, 2017
Accepted: Jan 16, 2018
Published online: Jun 20, 2018
Published in print: Sep 1, 2018
Discussion open until: Nov 20, 2018
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