Fuzzy-logic-based incident detection for signalized diamond interchanges

Sibok Lee, Raymond A. Krammes, John Yen

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)359-377
Number of pages19
JournalTransportation Research Part C: Emerging Technologies
Volume6
Issue number5-6
DOIs
StatePublished - Dec 10 1998

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Automotive Engineering
  • Transportation
  • Computer Science Applications

Fingerprint Dive into the research topics of 'Fuzzy-logic-based incident detection for signalized diamond interchanges'. Together they form a unique fingerprint.

Cite this