Li Weigang

Prof. Li Weigang

Department of Computer Science, University of Brasilia
orcid

Research Focus & Metrics

Academic Career Length

36Years (1991-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2013 in Transportation Research Part C: Emerging Technologies
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Journal Article
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LCLeonardo L.B.V. Cruciol
Leonardo L.B.V. Cruciol
AAAntonio C. de Arruda
Antonio C. de Arruda
Li WeigangLi Weigang
Li Weigang
LLLeihong Li
Leihong Li
ACAntonio M.F. Crespo
Antonio M.F. Crespo

1 April 2019 in Chaos, Solitons & Fractals
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Journal Article
Closed access
YZYaming Zhang
Yaming Zhang
YSYanyuan Su
Yanyuan Su
Li WeigangLi Weigang
Li Weigang
HLHaiou Liu
Haiou Liu

1 October 2010 in Transportation Research Part C: Emerging Technologies
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Journal Article
Closed access
Li WeigangLi Weigang
Li Weigang
MDMarcos Vinicius Pinheiro Dib
Marcos Vinicius Pinheiro Dib
DADaniela Pereira Alves
Daniela Pereira Alves
ACAntonio Marcio Ferreira Crespo
Antonio Marcio Ferreira Crespo

3 February 2016 in IEEE Transactions on Intelligent Transportation Systems
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Journal Article
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CACicero R. F. de Almeida
Cicero R. F. de Almeida
Li WeigangLi Weigang
Li Weigang
GMGiovani V. Meinerz
Giovani V. Meinerz
LLLeihong Li
Leihong Li
Collaborative decision making (CDM) has been used as an essential paradigm to increase the efficiency of air traffic flow management (ATFM), including takeoff or landing operations at airports. Air traffic control (ATC) services and airlines have been involved in the current CDM, but airport management service, an important stakeholder, has not been involved yet, generally. This paper proposes a new CDM model, which is named satisficing CDM, that is based on the satisficing game theory. This model includes three main entities (ATC, airlines, and airport management) in ATFM. The complete set of functions (preference, rejectability, and selectability) is established for each of the entities. Because the delay due to ground or air holding potentially alters the takeoff or the landing order of a flight, the sequence of takeoff and landing is determined through the satisficing negotiation process. To demonstrate the utility of the developed intelligent system, experiments are run with real air traffic in the terminal area of Sao Paulo. The experimental results show the importance and effectiveness of including airport management services in CDM. The sequences of takeoff and landing determined by the proposed model mostly meet the preferences of the three stakeholders in the given real traffic scenarios.

3 November 2021 in Frontiers of Information Technology & Electronic Engineering
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Journal Article
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Li WeigangLi Weigang
Li Weigang
LELiriam Michi Enamoto
Liriam Michi Enamoto
DLDenise Leyi Li
Denise Leyi Li
GFGeraldo Pereira Rocha Filho
Geraldo Pereira Rocha Filho

1 September 1997 in Journal of Advanced Transportation
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Journal Article
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Li WeigangLi Weigang
Li Weigang
CACláudio Jorge Pinto Alves
Cláudio Jorge Pinto Alves
NONizam Omar
Nizam Omar