Estimating post-disaster traffic conditions using real-time data streams
Otsuka, Reece
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https://hdl.handle.net/2142/49636
Description
Title
Estimating post-disaster traffic conditions using real-time data streams
Author(s)
Otsuka, Reece
Issue Date
2014-05-30T16:53:29Z
Director of Research (if dissertation) or Advisor (if thesis)
Song, Junho
Work, Daniel B.
Department of Study
Civil & Environmental Eng
Discipline
Civil Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
Traffic estimation
ensemble Kalman filtering
earthquake
post-disaster
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 https://github.com/rotsuka/UIUCthesis.
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