차량과 보행자 동시신호최적화모형 개발 연구

• 영문명: A Signal Optimization Model Integrating Traffic Movements and Pedestrian Crossings
• 발행기관: 안양대학교 수도권발전연구소
• 저자명: 김주현 신언교
• 간행물 정보: 『수도권연구』제1호(창간호), 193~205쪽, 전체 13쪽
• 주제분류: 사회과학 > 지역개발
• 파일형태: PDF
• 발행일자: 2004.09.01

영문 초록

  Most traffic signal optimization models assume that green intervals to pedestrian crossings are given as exogenous inputs such as minimum green intervals to straight movements. Based upon the models, traffic engineers usually start with grouping the intervals into traffic streams, irrespective of the traffic and geometric conditions, and then the signal settings are determined. As the result, in reality, the green interval of the straight movement may not distribute adequately by the volume/saturation-flow of each movement. Moreover the conventional approach is to design the green intervals to pedestrian crossings on a trial and error basis. However, for complicated intersections, it is difficult to come up with an optimal set of green intervals to pedestrian crossings for traffic design.
  In this paper, therefore, we proposed a signal optimization model to integrate pedestrian crossings to traffic movements. In this model, both traffic and pedestrian movements are simultaneously optimized both to minimize queues and to maximize green intervals to pedestrian crossings. These problems are formulated as Binary Mixed Integer Linear Programs, which are solvable by any standard branch-and-bound routine. Numerical examples are given to demonstrate the effectiveness of the proposed model. The examples are classified into some cases by minimum green intervals to pedestrian crossings and numbers of pedestrian crossings located at an arm. Optimization results illustrated that delays using proposed model were less than those using conventional method, and vice versa in green splits for pedestrian crossings.

목차

Ⅰ. 서론
Ⅱ. 문제제기
Ⅲ. 모형개발
Ⅳ. 모형적용 및 평가
Ⅴ. 결론 및 제언
참고문헌
ABSTRACT

키워드

신호최적화모형 횡단신호시간 혼합정수선형계획법(BMILP) signal optimization model green interval to pedestrian crossing Binary Mixed Integer Linear Programs