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The Use of Large-scale Datasets for Understanding Network State

The goal of this proposal is to develop novel modeling techniques to infer individual activity patterns from the large scale cell phone datasets and taxi data from NYC. As such this research offers a paradigm shift from traditional transportation modeling by using large scale, disaggregate data and provides an unique perspective to understand the complex interactions among human behavior, urban environments and traffic patterns.

Project Details

Author(s): 
Dr. Camille Kamga
Dr. Satish V. Ukkusuri
Universities: 
City University of New York
Publication Year: 
2013
Publication Type: 
Final Report
Project: 
The Use of Large Scale Datasets for Understanding Traffic Network State
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