Please use this identifier to cite or link to this item:
Title: Physarum polycephalum assignment : a new attempt for fuzzy user equilibrium
Authors: Liu, Y
Hu, Y
Chan, FTS 
Zhang, X
Deng, Y
Issue Date: 2018
Source: Soft computing, 2018, v. 22, no. 11, p. 3711-3720
Abstract: The fuzzy user equilibrium problem in urban traffic assignment has attracted much attention since its great theoretical significance and wide application. Based on the fact that travelers tend to choose the minimum-cost path between every origin–destination pair of the traffic network, an equilibrium is emerging over time. However, in the real world, travelers’ selection of paths is often fuzzy with the lack of global information. In this paper, by aid of the Physarum polycephalum algorithm, we propose a model for solving the fuzzy user equilibrium problem. P. polycephalum can build a bio-network and assign the flow according to the location and the size of the food source. Taking full advantage of this feature, the proposed model associates the traffic demand with the food source and unifies the bio-network and the traffic network. The solution of the fuzzy user equilibrium problem is the flow assignment in the bio-network. To test the performance of the proposed method, we conduct experiments on some traffic networks selected from recent related works. The results show that the proposed method is efficient.
Keywords: Bio-network
Fuzzy user equilibrium
Physarum polycephalum
Traffic assignment
Publisher: Springer
Journal: Soft computing 
ISSN: 1432-7643
DOI: 10.1007/s00500-017-2592-9
Appears in Collections:Journal/Magazine Article

View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

Last Week
Last month
Citations as of Jul 8, 2020

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.