Proceedings:
No. 4: Human Behavior Modeling
Volume
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Papers from the 2009 AAAI Spring Symposium
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Abstract:
The high resolution tracking data for hundreds to thousands of urban vehicles, as well as the availability of digitized map data, provide urban planners unprecedented opportunities for better understanding urban motor vehicle transportation and for better exploiting the knowledge thereof. This paper combines the domain knowledge of traffic engineering with machine learning techniques, and gives a new approach to the problem of traffic speed estimation and travel time prediction.
Spring
Papers from the 2009 AAAI Spring Symposium