Nam-Kwan Hong

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This research aims at model development for incident detection and travel time estimation using a neuro-fuzzy algorithm. Traffic incidents such as accidents, weather and construction, are a major cause of congestion. Thus incident detection and optimal travel time estimation is required for improving general traffic conditions. Until recently, two(More)
The study has designed an incident detection model by utilizing fuzzified APID Model along with traffic pattern, for realizing incident detection that is more efficient and suitable for road environment with lamps. Traffic data used by the model are traffic volume, occupancy and speed collected for 3 months in 5 minute interval by the loop detector(More)
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