Framework to simulate the effect of the Braess Paradox on CO2 emissions in urban areas by modeling the traffic flow from real data and simulating it through SUMO.
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Updated
Jul 10, 2023 - Jupyter Notebook
Framework to simulate the effect of the Braess Paradox on CO2 emissions in urban areas by modeling the traffic flow from real data and simulating it through SUMO.
A simulation tool to test Braess's Paradox in traffic networks.
40.316 Game Theory - Understanding Drivers in Car-lite Singapore and the Impact of Cycling
Implémentation du paradoxe de Braess.
Analyze and minimize the Braess' Paradox on networks
The program explores how various network structures influence system behavior under Braess' Paradox — a counterintuitive phenomenon in which adding resources to a network can degrade overall performance. The simulations are implemented using Python and NetworkX to model, analyze, and visualize traffic-like flow in graph-based systems.
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