Unraveling reaction-diffusion-like dynamics in urban congestion propagation: Insights from a large-scale road network

We study the dynamical process of congestion formation for large-scale urban networks by exploring a unique dataset of taxi movements in a megacity. We develop a dynamic model based on a reaction and a diffusion term that properly reproduces the cascade phenomena of traffic. The interaction of these two terms brings the values of the speeds on road network in self-organized patterns and it reveals an elegant physical law that reproduces the dynamics of congestion with very few parameters. The results presented show a promising match with an available real data set of link speeds estimated from more than 40 millions of GPS coordinates per day of about 20,000 taxis in Shenzhen, China.


Published in:
Scientific Reports, 10, 1, 4876
Year:
Mar 17 2020
ISSN:
2045-2322
Keywords:
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This article is licensed under a Creative Commons Attribution 4.0 International License.
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Note: The status of this file is: Anyone


 Record created 2020-09-12, last modified 2020-10-29

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