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Volumn 1, Issue , 2002, Pages 725-731

Using simulation modeling to assess rail track infrastructure in densely trafficked metropolitan areas

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; RAILROAD TRAFFIC CONTROL;

EID: 0036923699     PISSN: 02750708     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (6)
  • 1
    • 0029350464 scopus 로고
    • A simulation modeling methodology for analyzing large complex rail networks
    • Dessouky, M. and R. C. Leachman. 1995. A Simulation Modeling Methodology for Analyzing Large Complex Rail Networks, Simulation 65(2); 131-142.
    • (1995) Simulation , vol.65 , Issue.2 , pp. 131-142
    • Dessouky, M.1    Leachman, R.C.2
  • 2
    • 0032206316 scopus 로고    scopus 로고
    • Modeling train delays in urban networks
    • Higgins, A. and E. Kozan. 1998. Modeling Train Delays in Urban Networks. Transportation Science 32(4); 346-357.
    • (1998) Transportation Science , vol.32 , Issue.4 , pp. 346-357
    • Higgins, A.1    Kozan, E.2
  • 4
    • 0020128317 scopus 로고
    • A structured model for rail line simulation and optimization
    • Petersen, E. R., and A. J. Taylor. 1982. A Structured Model for Rail Line Simulation and Optimization. Transportation Science 16(2); 192-206.
    • (1982) Transportation Science , vol.16 , Issue.2 , pp. 192-206
    • Petersen, E.R.1    Taylor, A.J.2
  • 6
    • 0008718238 scopus 로고    scopus 로고
    • Next-generation container vessels: Impact on transportation infrastructure an operations
    • Vickerman, M. J. 1998. Next-Generation Container Vessels: Impact on Transportation Infrastructure an Operations. TR News 196; 3-15
    • (1998) TR News , vol.196 , pp. 3-15
    • Vickerman, M.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.