Braess paradox under different traffic demand scenarios
Centre of Excellence for Mathematics and Statistics of Complex Systems Seminar
by Yongxiang Xia
Abstract: In a traffic network, The Braess paradox gives an example that more resource can lead to worse performance. Previous study on this topic mainly focuses on the worst case. In a practical traffic network, however, the traffic volume changes from time to time, i.e., the worst case is not always satisfied. Therefore, it is important to study the Braess paradox under different traffic demand scenarios, which motivates the research in this talk. Our result indicates that the Braess paradox can only happen within a range of traffic volume. Moreover, in a large network, the paradox can happen at different places with different traffic volume. We study the traffic with single source-destination pair and multiple S-D pairs, and find similar results.
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