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정보통신설비학회논문지 [Journal of the Institute of Information and Telecommunication Facility Engineering]

간행물 정보
  • 자료유형
    학술지
  • 발행기관
    한국정보통신설비학회 [Korea Institute of Information & Telecommunication Facilities Engineering]
  • ISSN
    1598-6586
  • 간기
    계간
  • 수록기간
    2002~2016
  • 주제분류
    공학 > 전자/정보통신공학
  • 십진분류
    KDC 567.9 DDC 621.38
제12권 제1호 (1건)
No
1

지능망을 이용한 도시도로 기본구간 차로변경이행모형에 대한 개발

김철우

한국정보통신설비학회 정보통신설비학회논문지 제12권 제1호 2013.03 pp.1-7

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This thesis presents the studies conducted (1) to find shortcomings embedded in the existing model by comparing the cycle lengths produced by the model against the ones minimizing delay and (2) to propose a new direction to design a cycle length minimizing delay and excluding such operator oriented parameters. It was found from the study that the cycle lengths from the existing model fail to minimize delay and promote intersection operational conditions to be unsatisfied when traffic volume is low, due to the feature of the changed target operational volume-to-capacity ratio embedded in the model. The 64 different neural network based cycle length design models were developed based on simulation data surrogating field data. The CORSIM optimal cycle lengths minimizing delay were found through the COST software developed for the study. COST searches for the CORSIM optimal cycle length minimizing delay with a heuristic searching method, a hybrid genetic algorithm. Among 64 models, the best one producing cycle lengths close enough to the optimal was selected through statistical tests. It was found from the verification test that the best model designs a cycle length as similar pattern to the ones minimizing delay. The cycle lengths from the proposed model are comparable to the ones from TRANSYT-7F while they were based on the trained data from CORSIM simulations.

4,000원

 
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