A new system for traffic incident detection using fuzzy logic and majority voting

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dc.contributor.authorLa-Inchua, Jaraspat
dc.contributor.authorChivapreecha, Sorawat
dc.contributor.authorThajchayapong, Suttipong
dc.date.accessioned2026-08-06T10:07:12Z
dc.date.available2026-08-06T10:07:12Z
dc.date.issued2013-09-02
dc.description.abstractThis paper presents a system to detect lane-blocking traffic incidents which are amongst major causes of traffic jam. The proposed system uses fuzzy logic to identify traffic status as normal and abnormal. Mean speed and standard deviation of inter-arrival time are used as inputs to the fuzzy inference system (FIS), and then, the majority voting is applied to the outputs of FIS to improve detection rate and mean time to detection. Furthermore, based on simulation results, we show that the proposed lane-blocking detection system is very suitable for real-time implementation. © 2013 IEEE.
dc.identifier.citation2013 10th International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology Ecti Con 2013, 2013
dc.identifier.doi10.1109/ECTICon.2013.6559596
dc.identifier.other2-s2.0-84883080178
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/5028
dc.source2013 10th International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology Ecti Con 2013
dc.subjectAnomaly detection
dc.subjectfuzzy logic
dc.subjectintelligent transpostation systems
dc.subjecttraffic incident detection
dc.titleA new system for traffic incident detection using fuzzy logic and majority voting
dc.typeConference Paper

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