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Development and Evaluation of Automatic Incident Detection Algorithm using Modified Flow-Occupancy Diagram  

Kim, Sang-Gu (전남대학교 교통물류학부)
Kim, Young-Chun (전남대학교 교통물류연구소)
Publication Information
Journal of Korean Society of Transportation / v.26, no.4, 2008 , pp. 229-239 More about this Journal
Abstract
Most algorithms for detecting incidents have been developed under the premise that congestion must happen whenever an incident occurs. For that reason, the performance of these algorithms could not be guaranteed in cases where congestion did not happen due to traffic operations with low flows despite the occurrence of an incident. The objective of this paper is to develop an automatic incident detection algorithm using a new diagram that can reliably detect the incident under various conditions of traffic operations including a low volume state. Compared with the McMaster Algorithm, the proposed algorithm in this paper was evaluated with three different cases in which the incidents occur in traffic operations with a low volume state, a relatively high volume state, and a recurrent congestion state. It is shown that the new algorithm has a capability to identify the flow characteristics of incidents for all the three cases and is much better than McMaster algorithm in terms of detection rate and false alarm rate.
Keywords
Incident; Modified Flow; McMaster Algorithm; Detection Rate; False Alarm Rate;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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