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Title:Estimating post-disaster traffic conditions using real-time data streams
Author(s):Otsuka, Reece
Advisor(s):Song, Junho; Work, Daniel B.
Department / Program:Civil & Environmental Eng
Discipline:Civil Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Traffic estimation
ensemble Kalman filtering
data assimilation
Abstract:This thesis presents a technique to determine the effects of an earthquake on road traffic conditions by linking seismic hazard and bridge fragility models with a traffic model and traffic sensor data. Using the earthquake characteristics as an input to the traffic model, the traffic conditions are sequentially estimated given traffic sensor measurements using an ensemble Kalman filter. The proposed algorithm is tested through numerical experiments and the results show that integrating the seismic hazard and bridge fragility model with the traffic model and traffic sensor data improves the post-disaster traffic estimate. The supporting source code and data used in this thesis are available for download at
Issue Date:2014-05-30
Rights Information:Copyright 2014 Reece Otsuka
Date Available in IDEALS:2014-05-30
Date Deposited:2014-05

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