DocumentCode
526379
Title
Notice of Retraction
Research on the solution method of Braess paradox based on Multi-agent system
Author
Peng Gao ; Zhaosheng Yang ; Di Hong
Author_Institution
State Key Lab. of Automobile Dynamic Simulation, Jilin Univ., Changchun, China
Volume
6
fYear
2010
fDate
9-11 July 2010
Firstpage
187
Lastpage
191
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
With the enlargement of IVIS´s market penetration rate, the phenomenon of Braess paradox will appear. To avoid this phenomenon and lessen congestion, this paper analyses the causes of this phenomenon in detail, proposes a solution method based on Multi-agent system (MAS). This paper proposes conceptual solution architecture of three layers of agents and gives the corresponding algorithm. The system makes the IVIS agent and Traffic Guidance Center (TGC) agent coordinate with each other and gives the driver a both system optimum and user optimum route during traveling. Thus, vehicles are assigned evenly on the whole road network, so as to better avoid the phenomenon of Braess paradox. Then, this paper uses the Open Cybele version 1.2-agent infrastructure and TRIPS to validate the feasibility of the advised MAS and the algorithm. As a result, such system and algorithm prove to be a better method to avoid Braess paradox and alleviate congestion.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
With the enlargement of IVIS´s market penetration rate, the phenomenon of Braess paradox will appear. To avoid this phenomenon and lessen congestion, this paper analyses the causes of this phenomenon in detail, proposes a solution method based on Multi-agent system (MAS). This paper proposes conceptual solution architecture of three layers of agents and gives the corresponding algorithm. The system makes the IVIS agent and Traffic Guidance Center (TGC) agent coordinate with each other and gives the driver a both system optimum and user optimum route during traveling. Thus, vehicles are assigned evenly on the whole road network, so as to better avoid the phenomenon of Braess paradox. Then, this paper uses the Open Cybele version 1.2-agent infrastructure and TRIPS to validate the feasibility of the advised MAS and the algorithm. As a result, such system and algorithm prove to be a better method to avoid Braess paradox and alleviate congestion.
Keywords
driver information systems; multi-agent systems; road vehicles; software architecture; Braess paradox; IVIS agent; Open Cybele version 1.2; multi-agent system; optimum route; traffic guidance center; Artificial intelligence; Nickel; Braess paradox; IVIS; congestion alleviation; coordination algorithm; multi-agent system;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5563706
Filename
5563706
Link To Document