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Volumn , Issue 1964, 2006, Pages 201-210

Noniterative approach to dynamic traffic origin-destination estimation with parallel evolutionary algorithms

Author keywords

[No Author keywords available]

Indexed keywords

EVOLUTIONARY ALGORITHMS; LEARNING SYSTEMS; MATRIX ALGEBRA; OPTIMIZATION; PARALLEL ALGORITHMS; PARALLEL PROCESSING SYSTEMS;

EID: 33846868421     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/1964-22     Document Type: Conference Paper
Times cited : (37)

References (14)
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  • 3
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    • Real-Time Origin-Destination Matrix Updating Algorithm for On-Line Applications
    • Wu, J. Real-Time Origin-Destination Matrix Updating Algorithm for On-Line Applications. Transportation Research, Vol. 31B, No 5, 1997, pp. 381-396.
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    • Wu, J.1
  • 6
    • 0000391110 scopus 로고
    • Signal Timing Determination Using Genetic Algorithms
    • TRB, National Research Council, Washington, D.C
    • Foy, M. D., R. F. Benekohal, and D. E. Goldberg. Signal Timing Determination Using Genetic Algorithms. In Transportation Research Record 1365, TRB, National Research Council, Washington, D.C., 1992, pp. 108-115.
    • (1992) Transportation Research Record 1365 , pp. 108-115
    • Foy, M.D.1    Benekohal, R.F.2    Goldberg, D.E.3
  • 7
    • 0032207364 scopus 로고    scopus 로고
    • Calibration of FRESIM for Singapore Expressway Using Genetic Algorithm
    • Cheu, S., K. C. Ng, Y. L. Ng, and D. Srinivasan. Calibration of FRESIM for Singapore Expressway Using Genetic Algorithm. Journal of Transportation Engineering, Vol. 124, No. 6, 1998, pp. 526-535.
    • (1998) Journal of Transportation Engineering , vol.124 , Issue.6 , pp. 526-535
    • Cheu, S.1    Ng, K.C.2    Ng, Y.L.3    Srinivasan, D.4
  • 8
    • 2142702918 scopus 로고    scopus 로고
    • GAID: Genetic Adaptive Incident Detection for Freeways
    • Transportation Research Board of the National Academies, Washington, D.C
    • Roy, P., and B. Abdulhai. GAID: Genetic Adaptive Incident Detection for Freeways. In Transportation Research Record: Journal of the Transportation Research Board, No. 1856, Transportation Research Board of the National Academies, Washington, D.C., 2003, pp. 96-105.
    • (2003) Transportation Research Record: Journal of the Transportation Research Board, No. 1856 , pp. 96-105
    • Roy, P.1    Abdulhai, B.2
  • 10
    • 33646643008 scopus 로고    scopus 로고
    • Galapagos: Development Platform for Distributed Parallel Genetic Algorithm for Computationally Demanding ITS Optimization Problems
    • Presented at, Washington, D.C
    • Abdulhai, B., N. Kruchten, and D. de Koning. Galapagos: Development Platform for Distributed Parallel Genetic Algorithm for Computationally Demanding ITS Optimization Problems. Presented at 83rd Annual Meeting of the Transportation Research Board, Washington, D.C., 2004.
    • (2004) 83rd Annual Meeting of the Transportation Research Board
    • Abdulhai, B.1    Kruchten, N.2    de Koning, D.3
  • 11
    • 0002302632 scopus 로고
    • Multiple User Class Real-Time Traffic Assignment for Online Operations: Rolling Horizon Solution Framework
    • Peeta, S., and H. S. Mahmassani. Multiple User Class Real-Time Traffic Assignment for Online Operations: Rolling Horizon Solution Framework. Transportation Research, Vol. 3C, No. 2, 1995, pp. 83-98.
    • (1995) Transportation Research , vol.3 C , Issue.2 , pp. 83-98
    • Peeta, S.1    Mahmassani, H.S.2
  • 12
    • 0003029956 scopus 로고
    • A Unified Framework for Estimating or Updating Origin/Destination Matrices from Traffic Counts
    • Cascetta, E., and S. Nguyen. A Unified Framework for Estimating or Updating Origin/Destination Matrices from Traffic Counts. Transportation Research, Vol. 22B, No. 6, 1988, pp. 437-455.
    • (1988) Transportation Research , vol.22 B , Issue.6 , pp. 437-455
    • Cascetta, E.1    Nguyen, S.2
  • 13
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    • An Overview of the Simultaneous Perturbation Method for Efficient Optimization
    • Spall, J. An Overview of the Simultaneous Perturbation Method for Efficient Optimization. Johns Hopkins University APL Technical Digest, Vol. 19, No. 4, 1998.
    • (1998) Johns Hopkins University APL Technical Digest , vol.19 , Issue.4
    • Spall, J.1
  • 14
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    • Improving Performance of Genetic Algorithms for Transportation Systems: Case with Parallel Genetic Algorithms
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    • Abu-Lebdeh, G., H. Chen, and E. Goodman. Improving Performance of Genetic Algorithms for Transportation Systems: Case with Parallel Genetic Algorithms. Presented at 83rd Annual Meeting of the Transportation Research Board, Washington, D.C., 2004.
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    • Abu-Lebdeh, G.1    Chen, H.2    Goodman, E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.