Earticle

초록

영어

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.

목차

Abstract
 I. 서론
 II. 실시간 신호제어 시스템
  1. 경험적 탐색방법
  2. 인공 지능망 이론
 III. 실험 설계
  1. 연구방법
  2. 궤적방향측정
 IV. 시뮬레이션 검증
  1. 모형설정 및 시뮬레이션
 V. 결론
 참고문헌

키워드

저자

• 김철우 [ Cheol-Woo Kim | 네오정보시스템 연구소 ] 교신저자

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

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

• 간기

  계간

• pISSN

  1598-6586

• 수록기간

  2002~2020

• 십진분류

  KDC 567 DDC 621