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Volumn 4, Issue 1, 2010, Pages 93-102

Self-organising congestion evasion strategies using ant-based pheromones

Author keywords

[No Author keywords available]

Indexed keywords

CENTRAL CONTROL; COMMUNICATION TECHNOLOGIES; DIGITAL PHEROMONES; EVASION STRATEGY; INDIRECT COMMUNICATION; MICROSIMULATION; SELF-ORGANISING; SOCIAL INSECTS; SWARM INTELLIGENCE; TECHNICAL IMPLEMENTATION; TRAFFIC FLOW; TRAFFIC SYSTEMS;

EID: 76449111607     PISSN: 1751956X     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-its.2009.0022     Document Type: Conference Paper
Times cited : (43)

References (25)
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    • Wiedemann, R.1
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    • VISSIM: A microscopic simulation tool to evaluate actuated signal control including bus priority
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    • Fellendorf, M.1
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    • 0035470907 scopus 로고    scopus 로고
    • Traffic and related self-driven many particle systems
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    • Helbing, D.: ' Traffic and related self-driven many particle systems ', Rev. Mod. Phys., 2001, 73, (4), p. 1067-1141 0034-6861
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    • Helbing, D.1
  • 23
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    • Real-time traffic simulation with a microscopic model
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    • Maroto, J., Delso, E., and Félez, J.: ' Real-time traffic simulation with a microscopic model ', IEEE Trans. Intell. Transp. Syst., 2006, 7, (4), p. 513-527 1524-9050
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.