Decision Tree Analysis to Predict Traffic Congestion in Transport Routing
Geospatial information system (GIS) provides a good support for users who are in search of optimal route, as searching the optimal path is one of the advanced analysis functions of GIS. The optimal route finding in Intelligent Transport Routing (ITS) is a challenging task. Road users want reliable door-to-door trips that are free of stress. Much can be done to reduce the worst traffic congestion This research aims to enhance transport routing mechanism to be most efficient and strong to face the most important routing problem, traffic congestion. This research aims to enhance transport routing mechanism to be most efficient and strong to face the most important routing problem, traffic congestion. To solve the problem of traffic congestion, the existing road routes are analyzed by classifying them according to the congestion level. A decision tree is derived which will help the users to predict the level of traffic congestion.
Author Name: J. Patricia Annie Jebamalar, Dr. Sujni Paul and Dr. D. Ponmary Pushpalatha
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Keywords: Transport Routing, Classification, Decision Trees and Traffic Congestion