Vienna / Minneapolis / Washington / DC / Report / /
Company
MIT Press / Oxford University Press / TomTom / New York Times / UPS / Google / National Renewable Energy Laboratory / Springer Publishing Company Incorporated / Oak Ridge National Laboratory / Pearson / ESRI / Oak Ridge National Labs / CIKM / Microsoft / Intelligent Transportation Systems / Garmin / TeleNav / /
Country
Austria / United States / /
Currency
USD / / /
Event
Environmental Issue / /
Facility
Highway Statistics / American Transportation Research Institute / Texas Transportation Institute / McKinsey Global Institute / University of Minnesota / /
IndustryTerm
minimal travel-time routes / cloud computing paradigms / speed/travel / web applications / transportation / in-vehicle navigation devices / spatial database technologies / road network / transportation systems / travel time information / insurance / spatial networks / public transportation / historic travel time / Location-based services / hierarchical shortest algorithms / intermodal networks / spatial computing technologies / energy / route planning algorithms / scalar travel time values / energy source / sensor networks / travel time / transportation network / mean travel-time / traffic management systems / datasets and associated algorithms / data logging devices / classic shortest path algorithms / historical and current travel-times / Navigation systems / route services / energy data book / travel-time / cloud computing paradigm / spatial computing / energy-source / spatial cloud computing / road networks / multimodal networks / knowledge management / large networks / data mining / greenhouse gas / auxiliary computing / it less likely that single algorithms / Usage-based insurance / shortest-path algorithms / Path computation algorithms / energy independence / location services / Route determination services / Mobility services / navigation devices / multimodal transportation systems / transportation applications / audio-visual presentation media / social media reports / communication devices / generation routing services / /
Organization
Federal Highway Administration / American Transportation Research Institute / Oxford University / Texas Transportation Institute / National Science Foundation / MIT / McKinsey Global Institute / SPATIAL BIG DATA SBD / Department of Defense / IEEE Computer Society / University of Minnesota / /
Person
Ning Jing / Dale Honeycutt / Shashi Shekhar / Daniel Sperling / Francesco Bonchi / Daniele Frigioni / Wee-Liang Heng / Umberto Nanni / Xiaobin Ma / Mark Coyle / Hanan Samet / Jagan Sankaranarayanan / Yang / Alberto Marchetti-Spaccamela / Elke A. Rundensteiner / Eva Tardos / Erik Hoel / Houman Alborzi / Dan Frankowski / Austin Brown / Ashim Kohli / Aristides Gionis / Betsy George / D. Gordon / Ranga Raju Vatsavai / Jon Kleinberg / Michael R. Evans / Morgan Kaufmann / H. Kargupta / V / Carlos Castillo / Yun-Wu Huang / Jin Soung Yoo / Loren G. Terveen / Pamela J. Ludford / Erik G. Hoel / Ernesto Nunes / Eric Horvitz / Michalis Potamias / Joel Lovell / /
Position
car driver / data model for trip planning / taxi driver / representative / driver / /
A position paper for 2012 NSF Workshop on Social Networks and Mobility in the Cloud