Study on traffic congestion prediction model of multiple classifier combination
Yuanda Cao · Jisuanji gongcheng yu sheji · 2010
Traffic congestion has become a restricted urban economic and social development choke point.Considering the influence of traffic flow parameters and some related environmental factors of the city traffic condition.By analyzing the single-class classifier and Bagging algorithm,a traffic congestion prediction model is presented based on the combination of multiple classifier systems(MCS). The experimental results show that the model can effectively distinguish the status of road congestion,can achieve higher recognition rate and low false alarm rate than without consider the impact of environmental factors.