Fuzzy-logic-based incident detection for signalized diamond interchanges

Fuzzy-logic-based incident detection for signalized diamond interchanges

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Article ID: iaor2000967
Country: United Kingdom
Volume: 6C
Issue: 5/6
Start Page Number: 359
End Page Number: 377
Publication Date: Oct 1998
Journal: Transportation Research. Part C, Emerging Technologies
Authors: , ,
Keywords: computers: information, fuzzy sets
Abstract:

This paper documents a fuzzy-logic-based incident detection algorithm for signalized urban diamond interchanges. The model is capable of detecting lane-blocking incidents whose effects are manifested by patterns of deterioration in traffic conditions that require adjustments in signal control strategies. As a component of a real-time traffic adaptive control system for signalized diamond interchanges, the algorithm feeds an incident report (i.e., the time, location, and severity of the incident) to the system's optimization manager, which uses that information to determine the appropriate signal control strategy. The performance of the model was studied using a simulation of an actual diamond interchange. The simulation study evaluated the model's performance in terms of detection rate, false alarm rate, and mean time to detect. The model's performance was encouraging, and the fuzzy-logic-based approach is considered promising.

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