DocumentCode
2836155
Title
Notice of Retraction
Research on the Location Allocation Model for Subway Emergency Service Facilities under Network Operating Conditions
Author
Man Li ; Yanhui Wang ; Caihong Sun
Author_Institution
State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing, China
fYear
2011
fDate
17-18 July 2011
Firstpage
1
Lastpage
6
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.
Under network operating conditions, unexpected events in the subway can cause the group to die or wound, bring serious property damage and even affect the normal operation of the whole network. The location allocation of emergency service facilities has become a critical link in the fast and efficient emergency rescue process after the accident. Therefore, on the condition of subway network, the paper has defined the Subway Emergency Network, established the location allocation model for emergency service facilities, and use genetic algorithms to solve the model. Finally, an example is given for the application under the background of Tianjin Subway.
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.
Under network operating conditions, unexpected events in the subway can cause the group to die or wound, bring serious property damage and even affect the normal operation of the whole network. The location allocation of emergency service facilities has become a critical link in the fast and efficient emergency rescue process after the accident. Therefore, on the condition of subway network, the paper has defined the Subway Emergency Network, established the location allocation model for emergency service facilities, and use genetic algorithms to solve the model. Finally, an example is given for the application under the background of Tianjin Subway.
Keywords
emergency services; genetic algorithms; railway accidents; Tianjin subway; accident; emergency rescue process; genetic algorithm; location allocation model; network operating condition; property damage; subway emergency network; subway emergency service facilities; Accidents; Biological cells; Emergency services; Genetic algorithms; Graphics; Rail transportation; Resource management;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits, Communications and System (PACCS), 2011 Third Pacific-Asia Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4577-0855-8
Type
conf
DOI
10.1109/PACCS.2011.5990137
Filename
5990137
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