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Mathematical physics / Road transport / Traffic flow / Hidden Markov model / Maximum likelihood / Expectation–maximization algorithm / Kalman filter / Markov chain / Likelihood function / Statistics / Estimation theory / Markov models


13th International IEEE Conference on Intelligent Transportation Systems Madeira Island, Portugal, 19 – 22 September 2010 Estimating arterial traffic conditions using sparse probe data Ryan Herring Industrial Engineeri
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Document Date: 2015-01-21 14:55:55


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City

San Francisco / Boston / Washington / D.C. / Toledo / Perugia / St. Louis / /

Company

Prentice-Hall Inc / Embedded Networked Sensor Systems / Intel / Intelligent Transportation Systems / /

Country

Italy / United States / Portugal / /

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Facility

Computer Science University of California / Environmental Engineering Systems Engineering University of California / Operations Research University of California / Massachusetts Institute of Technology / University of California / /

Holiday

Assumption / /

IndustryTerm

conditional travel time distribution function gl / real traffic network / arterial networks / route travel time distributions / road network / dedicated sensing infrastructure / partial link travel times / likely link travel times / real time speed / reference free flow travel time / Path travel time probability distribution / short-distance arterial travel times / estimated travel time / short-distance travel times / arterial network / data assimilation algorithms / speed limit travel time / neural networks / path travel times / highway networks / travel time allocation / i.e. travel time / observed travel time / arterial road network / real-time version / travel time allocation method / historical travel time probability distributions / partial travel time / link travel time / actual travel time / travel time distribution parameters / reasonable traffic network / travel time allocation step / real time floating car data / urban network / link travel times / travel time predictions / free flow travel time / probe-based traffic monitoring systems / real-time data / conditional travel time probability distributions / sampled travel times / travel time observations / travel time distribution gl / highway traffic monitoring systems / travel time distribution / model systems / arterial travel time distributions / traffic monitoring systems / secondary network / travel time distributions / travel time / travel times / city network / urban arterial road network / past travel time observations / precise route travel time distributions / large transportation networks / mean travel time / link travel time distributions / dense arterial network / /

Organization

Royal Society of London / University of California / Berkeley / Massachusetts Institute of Technology / Media Lab / Transportation Research Board / /

Person

S. Amin / Remark / T. Abou Nasr / E. Van Zwet / B. Piccoli / K. Murphy / A. Hofleitner / P. Tossavainen / Timothy Hunter / Ryan Herring / J. Kwon / A. Abdel Khalek / J. Rice / P. Abbeel / P. J. Bickel / Alexandre Bayen Civil / C. Chen / A. Bayen / P. Varaiya / Aude Hofleitner / Pieter Abbeel / /

Position

distributed highway velocity model for traffic state reconstruction / model / /

ProvinceOrState

Missouri / California / Massachusetts / /

PublishedMedium

Proceedings of the Royal Society / /

Technology

data assimilation algorithms / GPS / mobile phones / The algorithm / EM algorithm / cellular telephone / artificial intelligence / Environmental Engineering / http / /

URL

http /

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