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Data analysis / Mathematical physics / Transport engineering / Image processing / Traffic flow / Traffic congestion / Data mining / Traffic / Geographic information system / Transport / Land transport / Road transport


Discovering Patterns in Traffic Sensor Data Farnoush Banaei-Kashani Computer Science Department University of Southern
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Document Date: 2011-11-15 18:07:22


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Google / Microsoft / Intelligent Transportation Systems / /

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France / United States / China / /

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Environmental Issue / /

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Computer Science Department University of Southern California Los Angeles / I405 freeway / Freeway Segments Residential Area Downtown Area Business Area Attraction Area Remote Area / University of California Press / Traffic Sensor Data Farnoush Banaei-Kashani Computer Science Department University of Southern California Los Angeles / Cyrus Shahabi Bei Pan Computer Science Department University of Southern California Los Angeles / University of Minnesota / /

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data mining techniques / transportation / road network / travel demand ments / transportation systems / travel demand / road networks / less travel cost / Data mining / pattern classification algorithms / less greenhouse gas production / real-time traffic flows / fixed travel-time / hand gesture applications / activity-travel patterns / transportation road network / real road network / traffic data generation tool / voltage-sensitive dye imaging / less travel time / travel time / transportation network / data mining field / travel data / transportation system / pattern mining / /

Organization

National Research Council / National Science Foundation / Cyrus Shahabi Bei Pan Computer Science Department University of Southern California Los Angeles / USC Integrated Media Systems Center / Traffic Sensor Data Farnoush Banaei-Kashani Computer Science Department University of Southern California Los Angeles / Transportation Research Board / Computer Science Department University of Southern California Los Angeles / Research and Innovative Technology Administration of DOT / University of Minnesota / University of California Press / /

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J. Kang / B. George / Morgan Kaufmann / Figure / S. Shekhar / Cyrus Shahabi Bei Pan / /

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General / author / representative / Bayesian network model for semi-structured document classification / /

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Minnesota / Illinois / Louisiana / Washington / California / Los Angeles County / /

PublishedMedium

Machine Learning / /

Region

Southern California / /

Technology

Neuroscience / X-means clustering algorithm / 1 Feature Selection Algorithm / GPS / clustering algorithm / Machine Learning / mobile devices / Kmeans algorithms / gene expression / pattern classification algorithms / SS algorithm / data mining / cell phones / Xmeans algorithm / Simulation / /

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