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Title: Paradox links can improve system efficiency : an illustration in traffic assignment problem
Authors: Yao, J
Huang, W
Chen, A 
Cheng, Z
An, S
Xu, G
Issue Date: Nov-2019
Source: Transportation research. Part B, Methodological, Nov. 2019, v. 129, p. 35-49
Abstract: This paper demonstrates a counter-intuitive phenomenon that “paradox links” (i.e. marginally improving or adding these links will increase a system's cost) can sometimes decrease a system's cost. It can be expressed that simultaneously improving the paradox link to a certain threshold (rather than only marginal improvement) or adding more paradox links may counter-intuitively avoid the paradox. Here, we refer this phenomenon as the “non-monotonicity” of the paradox with regard to the degree of link improvement and the number of additional paradox links. Firstly, a formal definition of "non-monotonicity" property of paradox in a rigorous mathematical manner is proposed. Then this non-monotonicity property is demonstrated to widely exist in the user equilibrium (UE), the stochastic assignment, and the stochastic user equilibrium (SUE) models by two simple networks, where the underlying reasons for this phenomenon in different scenarios are analyzed and compared. Finally, the non-monotonicity of the traffic paradox is corroborated in a road sub-network of Harbin. The conclusions of this study provide new insights into features of traffic paradoxes and new ideas to eliminate them.
Keywords: Non-monotonicity
Stochastic assignment
Stochastic user equilibrium
Traffic paradox
User equilibrium
Publisher: Pergamon Press
Journal: Transportation research. Part B, Methodological 
ISSN: 0191-2615
EISSN: 1879-2367
DOI: 10.1016/j.trb.2019.07.018
Rights: © 2019 Elsevier Ltd. All rights reserved.
© 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
The following publication Yao, J., Huang, W., Chen, A., Cheng, Z., An, S., & Xu, G. (2019). Paradox links can improve system efficiency: An illustration in traffic assignment problem. Transportation Research Part B: Methodological, 129, 35-49 is available at https://doi.org/10.1016/j.trb.2019.07.018.
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