Visualizing and Evaluating Interdependent Regional Traffic Congestion and System Resiliency, a Case Study Using Big Data from Probe Vehicles-Reference-Cited by-同舟云学术

Visualizing and Evaluating Interdependent Regional Traffic Congestion and System Resiliency, a Case Study Using Big Data from Probe Vehicles

Published:2019-04-05 Issue:1 Volume:1 Page:25-36
ISSN:2523-3556
Container-title:Journal of Big Data Analytics in Transportation
language:en
Short-container-title:J. Big Data Anal. Transp.

Author:

Brennan Thomas M.^ORCID,Gurriell Ryan A.,Bechtel Andrew J.,Venigalla Mohan M.

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

Link

http://link.springer.com/content/pdf/10.1007/s42421-019-00002-y.pdf

Reference23 articles.

1. Argos G (2019) Pennsylvania-NJ bridge closed 7 weeks reopens ahead of schedule. http://www.mcall.com/news/nationworld/pennsylvania/mc-pa-bridge-closed-to-open-03092017-20170309-story.html . Accessed 19 Feb 2019

2. Brennan TM, Venigalla M (2017) Incorporating speed data to analyze evacuation route resiliency. In: ITS World Congress; October 29–November 2, Montreal, Canada. Paper AM-SP0892

3. Brennan TM, Remias SM, Mariani LJ (2015) Performance measures to characterize corridor travel time delay based on probe vehicle data. Transp Res Board 2526:39–50

4. Brennan TM Jr, Venigalla MM, Hyde A, LaRegina A (2018a) Performance measures for characterizing regional congestion using aggregated multi-year probe vehicle data transportation research record. J Transp Res Board. https://doi.org/10.1177/0361198118797190

5. Brennan TM Jr, Day CM, Volovski M (2018b) Ranking statistically similar highway travel corridors using speed data sets. Infrastruct Asset Manag 5(3):96–104. https://doi.org/10.1680/jinam.17.00016

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