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http://hdl.handle.net/10609/70682
Title: | A model to identify urban traffic congestion hotspots in complex networks |
Author: | Solé-Ribalta, Albert Gómez Jiménez, Sergio Arenas, Alex |
Citation: | Solé Ribalta, A., Gómez Jiménez, S. & Arenas Moreno, A. (2016). "A model to identify urban traffic congestion hotspots in complex networks". Royal Society Open Science, 3(10). ISSN 2054-5703. doi: 10.1098/rsos.160098 |
Abstract: | The rapid growth of population in urban areas is jeopardizing the mobility and air quality worldwide. One of the most notable problems arising is that of traffic congestion. With the advent of technologies able to sense real-time data about cities, and its public distribution for analysis, we are in place to forecast scenarios valuable for improvement and control. Here, we propose an idealized model, based on the critical phenomena arising in complex networks, that allows to analytically predict congestion hotspots in urban environments. Results on real cities' road networks, considering, in some experiments, real traffic data, show that the proposed model is capable of identifying susceptible junctions that might become hotspots if mobility demand increases. |
Keywords: | complex networks congestion model phase transitions physics |
DOI: | 10.1098/rsos.160098 |
Document type: | info:eu-repo/semantics/article |
Issue Date: | Oct-2016 |
Publication license: | https://creativecommons.org/licenses/by/4.0/ |
Appears in Collections: | Articles Articles cientÍfics |
Files in This Item:
File | Description | Size | Format | |
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Sole_RSOS16_A model.pdf | 824,33 kB | Adobe PDF | View/Open |
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