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

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

Otsuka, Reece ; Song ; Junho ; Work ; Daniel B.

关键词: Traffic estimation;    ensemble Kalman filtering;    earthquake;    post-disaster;    data assimilation;   

Others  :  https://www.ideals.illinois.edu/bitstream/handle/2142/49636/Reece_Otsuka.pdf?sequence=1&isAllowed=y

美国|英语

来源: The Illinois Digital Environment for Access to Learning and Scholarship

【 摘 要 】

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.