@inproceedings{ba89ecb4a384483b9c8d998b6f9b5827,
title = "Congestion barcodes: Exploring the topology of urban congestion using persistent homology",
abstract = "This work presents a new method to quantify connectivity in transportation networks. Inspired by the field of topological data analysis, we propose a novel approach to explore the robustness of road network connectivity in the presence of congestion on the roadway. The robustness of the pattern is summarized in a congestion barcode, which can be constructed directly from traffic datasets commonly used for navigation. As an initial demonstration, we illustrate the main technique on a publicly available traffic dataset in a neighborhood in New York City.",
author = "Yu Wu and Gabriel Shindnes and Vaibhav Karve and Derrek Yager and Work, \{Daniel B.\} and Arnab Chakraborty and Sowers, \{Richard B.\}",
note = "This material is based upon work supported by the Illinois Geometry Laboratory, the Program for Interdisciplinary and Industrial Internships at Illinois, and the Siebel Energy Institute.; 20th IEEE International Conference on Intelligent Transportation Systems, ITSC 2017 ; Conference date: 16-10-2017 Through 19-10-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/ITSC.2017.8317777",
language = "English (US)",
series = "IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2017 IEEE 20th International Conference on Intelligent Transportation Systems, ITSC 2017",
address = "United States",
}