Simulation-Based Secondary Incident Filtering Method
Publication: Journal of Transportation Engineering
Volume 136, Issue 8
Abstract
A significant portion of nonrecurrent freeway congestion is caused by incidents. This nonrecurrent congestion negatively impacts safety and mobility. It produces enormous travel delay and results in secondary incidents, which cause additional delay and injury. The simulation-based secondary incident filtering (SBSIF) method is proposed for identifying secondary incidents from archived incident data. The proposed methodology is computationally efficient and overcomes deficiencies of existing techniques. It is evaluated on incident data from a 6-month period along a segment of I-287 in the New York state. Results of the evaluation show that the SBSIF method has a significantly reduced misclassification rate (e.g., a reduction of 58 percentage points and greater) as compared with static methods commonly used in practice, despite that, it requires comparable computational effort.
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Acknowledgments
This work was supported by the I-95 Corridor Coalition. This support is gratefully acknowledged, but implies no endorsement of the findings. We are also grateful to Sergeant Ira Promisel and Captain Henry Devries of the Hudson Valley Transportation Management Center for their valuable insight.
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Information & Authors
Information
Published In
Journal of Transportation Engineering
Volume 136 • Issue 8 • August 2010
Pages: 746 - 754
Copyright
© 2010 ASCE.
History
Received: Jul 2, 2008
Accepted: Nov 10, 2009
Published online: Dec 21, 2009
Published in print: Aug 2010
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