Estimating post-disaster traffic conditions using real-time data streams

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.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Civil Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2014

Author dc:creator

• Otsuka, Reece

Contributors dc:contributor

• Song, Junho
• Work, Daniel B.

• Traffic estimation
• ensemble Kalman filtering
• earthquake
• post-disaster
• data assimilation

Statement dc:rights

• Copyright 2014 Reece Otsuka

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/49636

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/49636