신호교차로 분석도구별 제어지체 산출 성능 비교 연구Performance Comparison of Signalized Intersections Analysis Tools in Estimating Control Delays
- Other Titles
- Performance Comparison of Signalized Intersections Analysis Tools in Estimating Control Delays
- Authors
- 윤일수; 오철; 안현경; 김경현; 한음; 강남원; 윤정은
- Issue Date
- Oct-2014
- Publisher
- 한국도로학회
- Keywords
- traffic operational index; control delay; highway capacity manual; CORSIM; TRANSYT-7F; SYNCHRO; VISTRO
- Citation
- 한국도로학회논문집, v.16, no.5, pp 109 - 119
- Pages
- 11
- Indexed
- KCI
DOMESTIC
- Journal Title
- 한국도로학회논문집
- Volume
- 16
- Number
- 5
- Start Page
- 109
- End Page
- 119
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/24554
- ISSN
- 1738-7159
2287-3678
- Abstract
- PURPOSES : The control delay in seconds per vehicle is the most important traffic operational index to evaluate the level of service ofsignalized intersections. Thus, it is very critical to calculate accurate control delay because it is used as a basic quantitative evidence for decisionmakings regarding to investments on traffic facilities. The control delay consists of time-in-queue delay, acceleration delay, and decelerationdelay so that it is technically difficult to directly measure it from fields. Thus, diverse analysis tools, including CORSIM, SYNCHRO, T7F,VISTRO, etc. have been utilized so far. However, each analysis tool may use a unique methodology in calculating control delays. Therefore,the estimated values of control delays may be different by the selection of an analysis tool, which has provided difficulties to traffic engineers inmaking solid judgments.
METHODS: This study was initiated to verify the feasibility of diverse analysis tools, including HCM methodology, CORSIM, SYNCHRO,T7F, VISTRO, in calculating control delays by comparing estimated control delays with that measured from a field.
RESULTS : As a result, the selected tools produced quite different values of control delay. In addition, the control delay value estimatedusing a calibrated CORSIM model was closest to that measured from the field.
CONCLUSIONS: First, through the in-depth experiment, it was explicitly verified that the estimated values of control delay may depend onthe selection of an analysis tool. Second, among the diverse tools, the value of control delay estimated using the calibrated microscopic trafficsimulation model was most close to that measured from the field. Conclusively, analysts should take into account the variability of controldelay values according to the selection of a tool in the case of signalized intersection analysis.
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