KNODET: A Framework to Mine GPS Data for Intelligent Transportation Systems at Traffic Signals

摘要

Traffic monitoring at Signals are very important nowadays because the number of vehicles increased and also there is a growth in traffic jams. The video cameras which are placed at signals are used for this purpose. There is a possibility for the video cameras to get spoiled by weather. Traffic security cameras would be damaged or ruined by heat, wind, rain, snow and ice. Current transportation environment can be improvd in terms of traffic flow by integrating an intelligent computing methods for the roadside and probe vehicles. Intelligent Transportation Systems (ITS) probe vehicles with GPS tracker enable identification of traffic density and possible traffic jams. Updated traffic signal control which is connected to ITS server can reduce congestion. This paper gives a framework to mine GPS data for Intelligent Transportation Systems at Traffic Signals.