Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6937120 | Transportation Research Part C: Emerging Technologies | 2014 | 13 Pages |
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.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Lan Wu, Benjamin Coifman,