Identifying the Impact Area of a Traffic Event Through k-Means Clustering
Author:
Funder
Virginia Department of Transportation
Publisher
Springer Science and Business Media LLC
Subject
General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s42421-022-00060-9.pdf
Reference62 articles.
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4. Brennan TM, Gurriell RA, Bechtel AJ, Venigalla MM (2019) Visualizing and evaluating interdependent regional traffic congestion and system resiliency, a case study using big data from probe vehicles. J Big Data Anal Transp 1:25–36. https://doi.org/10.1007/s42421-019-00002-y
5. Chen Z, Liu XC, Zhang G (2016) Non-recurrent congestion analysis using data-driven spatiotemporal approach for information construction. Transp Res C: Emerg Technol 71:19–31. https://doi.org/10.1016/j.trc.2016.07.002
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