Article ID Journal Published Year Pages File Type
6937120 Transportation Research Part C: Emerging Technologies 2014 13 Pages PDF
Abstract
Using empirical data from stop-and-go traffic at a well-tuned loop detector station the best conventional approach does surprisingly well; however, our new approach does even better, reducing the classification error rate due to acceleration by at least a factor of four relative to the best conventional method. Meanwhile, our approach still assigns over 98% of the vehicles to a single class.
Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
Authors
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