Annecy / Secaucus / Cancun / New York / Paris / Philadelphia / Washington / D.C. / Blosseville / IEEE / Los Angeles / Macroscopic Model / /
Company
IBM / Cambridge University Press / Matlab Software / covariance Rt. / /
Country
Mexico / France / United Kingdom / / /
Facility
Wachman Hall / Temple University / Freeway Traffic Estimation / Highway Traffic State Estimation Using Improved Mixture Kalman Filters / Hollywood Freeway / Highway Traffic Estimation Using GPS Enabled Mobile Devices / /
IndustryTerm
Online Traffic State Estimation / transportation / traveler information systems / delay algorithm / signal processing / intelligent transportation systems / traffic state estimation algorithm / transportation research community / real-time traffic control / traffic network / transportation departments / Online Multiclass Freeway Network Estimation / state estimation algorithms / real-time freeway traffic network surveillance tool / operations management / closed-form solution / few more signal reconstruction algorithms / traffic state estimation algorithms / /
Organization
Cambridge University / Department of Computer and Information Sciences / Royal Society of London / National Science Foundation / American Statistical Association / Traffic Flow Theory and Characteristics Committee / Temple University / Vol. / Transportation Research Board / U.S. Department of Transportation / Transportation Research Board of the National Academies / /
Traffic State Estimation from Aggregated Measurements with Signal Reconstruction Techniques Vladimir Coric, Nemanja Djuric, and Slobodan Vucetic from measurements with the Kalman filter (KF) algorithm and its extension