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- Title
Unraveling reaction-diffusion-like dynamics in urban congestion propagation: Insights from a large-scale road network.
- Authors
Bellocchi, Leonardo; Geroliminis, Nikolas
- Abstract
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.
- Subjects
SHENZHEN (Guangdong Sheng, China : East); URBANIZATION; TAXIWAYS; TRAFFIC engineering; DYNAMIC models
- Publication
Scientific Reports, 2020, Vol 10, Issue 1, p1
- ISSN
2045-2322
- Publication type
Article
- DOI
10.1038/s41598-020-61486-1