A Decision Tree Based Classification Model to Automate Trip Purpose Derivation.
作者： Yan Huang , Terry Griffin
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摘要: Departments of Transportation (DoT) at the state and federal level are consistently try to log travel behavior individuals help with urban planning. This is done by placing a Global Positioning System (GPS) in users’ vehicle, augmenting electronic data diary classify purpose each trip. Travel diary’s typically kept time, length, all trips throughout an day. Using just will not allow for trip be derived, however. Unfortunately inaccurate or incomplete threatens accuracy results ultimately any study using data. presents classification model determine from passively collected GPS eliminates need altogether. solution useful because improvement gaining accurate data, but it allows more classified eliminating active user participation collection process.
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