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Volumn , Issue , 2007, Pages 250-255

Train rescheduling algorithm using pattern description language and integrated algorithm framework

Author keywords

Heuristics; Knowledge acquisition; Meta heuristics; Railway; Scheduling algorithm; Train rescheduling

Indexed keywords

ACCIDENTS; ALGORITHMS; ARTIFICIAL INTELLIGENCE; BOOLEAN FUNCTIONS; HEURISTIC METHODS; KNOWLEDGE ACQUISITION; RAILROAD ACCIDENTS; RAILROAD CARS; SCHEDULING ALGORITHMS; SOFT COMPUTING;

EID: 54949133693     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (13)
  • 2
    • 54949126549 scopus 로고    scopus 로고
    • The present situation and problems of train traffic control systems
    • in Japanese
    • T. Nakamura, K. Ihara, The present situation and problems of train traffic control systems (in Japanese), IEEJ Journal,Vol.124, No.5 (2004)
    • (2004) IEEJ Journal , vol.124 , Issue.5
    • Nakamura, T.1    Ihara, K.2
  • 3
    • 0032203702 scopus 로고    scopus 로고
    • J. Cordeau, P. Toth, D. Vigo, A Survey of Optimization Models for Train Routing and Scheduling, Transportation Science, 32, No.4, (1998)
    • J. Cordeau, P. Toth, D. Vigo, A Survey of Optimization Models for Train Routing and Scheduling, Transportation Science, Vol.32, No.4, (1998)
  • 4
    • 0037355373 scopus 로고    scopus 로고
    • Scheduling and platforming trains at busy complex stations
    • M. Carey, S. Carville, Scheduling and platforming trains at busy complex stations, Transportation Research Part A 37 (2003)
    • (2003) Transportation Research Part A , vol.37
    • Carey, M.1    Carville, S.2
  • 8
    • 59749089450 scopus 로고    scopus 로고
    • An advanced real-time train dispatching system for minimizing the propagation of delays in a dispatching area under severe disturbances, RailHannover 2007
    • Hannover
    • A. D'Ariano, M. Pranzo, An advanced real-time train dispatching system for minimizing the propagation of delays in a dispatching area under severe disturbances, RailHannover 2007, 2nd International Seminar on Railway Operations Modelling and Analysis, Hannover (2007)
    • (2007) 2nd International Seminar on Railway Operations Modelling and Analysis
    • D'Ariano, A.1    Pranzo, M.2
  • 10
    • 4644268833 scopus 로고    scopus 로고
    • Dynamic re-scheduling of trains after disruption
    • Dresden, Germany
    • C.J. Goodman, R. Takagi, Dynamic re-scheduling of trains after disruption, Computers in Railways IX, Dresden, Germany, 2004, 765-774.
    • (2004) Computers in Railways IX , pp. 765-774
    • Goodman, C.J.1    Takagi, R.2
  • 11
    • 54949107165 scopus 로고    scopus 로고
    • An algorithm for train set scheduling problems toward Cyber-Rail
    • in Japanese, TER-02-46
    • C. Hirai, N. Tomii & N. Tanabe, An algorithm for train set scheduling problems toward Cyber-Rail (in Japanese), IEEJ Transportation and Electric Railway, 2002, TER-02-46.
    • (2002) IEEJ Transportation and Electric Railway
    • Hirai, C.1    Tomii, N.2    Tanabe, N.3
  • 12
    • 54949099065 scopus 로고    scopus 로고
    • Train rescheduling algorithm which minimizes passengers' dissatisfaction, in Moonis
    • Ali and Floriana Esposito eds, Innovations in Applied, Springer
    • N. Tomii, Y. Tashiro, N. Tanabe, C. Hirai & K. Muraki, Train rescheduling algorithm which minimizes passengers' dissatisfaction, in Moonis. Ali and Floriana Esposito eds, Innovations in Applied Artificial Intelligence, Lecture Notes in Artificial Intelligence 3533, Springer (2005).
    • (2005) Artificial Intelligence, Lecture Notes in Artificial Intelligence , vol.3533
    • Tomii, N.1    Tashiro, Y.2    Tanabe, N.3    Hirai, C.4    Muraki, K.5
  • 13
    • 36148937862 scopus 로고    scopus 로고
    • A crew rescheduling algorithm based on combinatorial auction model
    • in Japanese
    • A. Fujimori & N. Tomii, A crew rescheduling algorithm based on combinatorial auction model (in Japanese), Information Technology Letters, 3, 2004, 15-18.
    • (2004) Information Technology Letters , vol.3 , pp. 15-18
    • Fujimori, A.1    Tomii, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.