San Francisco / Perth / IADIS’04 / Berlin / Delft / /
Company
USC Integrated Media Systems Center / Los Angeles Metropolitan Transportation Authority / Caltrans / Northrop Grumman / HP Labs / Microsoft / /
Country
Netherlands / United States / Portugal / /
Currency
USD / / /
Event
Business Partnership / /
Facility
George Mason University / M. A. Hall / Highway Patrol / Staples Center / Cyrus Shahabi Integrated Media System Center University of Southern California Los Angeles / McKinsey Global Institute / /
IndustryTerm
data mining techniques / Online computation / radial basis function neural network / auto-regression algorithm / transportation / data mining approaches / road network / online maps / Freeway travel time prediction / back-propagation algorithm / road networks / traffic event detection algorithm / neural networks / timedependent spatial networks / real-time traffic congestion / data mining / car navigation systems / real-time traffic data / transportation networks / data-mining technique / smart route-planning algorithm / energy / transportation engineering / real-time high-fidelity spatiotemporal data / appropriate time-series mining technique / transportation science / transportation data / transportation network / mining / time-series mining technique / high-resolution spatiotemporal transportation data / using radial basis function neural network / trained using back-propagation algorithm / /
Organization
Los Angeles Department of Transportation / National Science Foundation / NNet ES / Cyrus Shahabi Integrated Media System Center University of Southern California Los Angeles / McKinsey Global Institute / George Mason University / HAM ARIMA / /
Utilizing Real-World Transportation Data for Accurate Traffic Prediction Bei Pan, Ugur Demiryurek, Cyrus Shahabi Integrated Media System Center University of Southern California Los Angeles, United States {beipan,demiry