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      Nonparametric Evaluation of Adaptive Traffic Signal Control System Based on Reliability Measures

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      https://www.riss.kr/link?id=A104204065

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      다국어 초록 (Multilingual Abstract)

      Adaptive traffic control systems often require additional sensors and more advanced computing technologies than time-of-day control, resulting in a more costly system installation. A more comprehensive evaluation than traditionally undertaken is needed to justify these increased costs. Conventional measures to evaluate traffic signal control have been average measures, such as average speed, travel time, delay, etc. Depending on the selected measures, the evaluation results may favor different systems. Thus, to address the need for a more comprehensive evaluation, this study explores measures that aim to quantify travel time reliability. From the transportation system perspective, reliability is commonly defined according to the level of travel time variation or the probability that travelers will arrive at their destination within a given time. To quantify this, reliability measures are often closely associated with the width of travel time distribution, or 95th percentile travel time, implying that estimating a reliability measure with a reasonable accuracy requires more data than estimating an average measure. The evaluation of traffic signal control on arterials has typically relied on test vehicle data in which the sample size is limited in most applications. Given the above background, the main objective is to provide a method to evaluate the effect of an adaptive traffic signal control system using reliability measures based on test vehicle data. The method is presented using the data collected in the SCATS pilot study in Cobb County GA, U.S. To achieve the objective, existing travel time reliability measures were reviewed, and appropriate measures are selected for the evaluation. To overcome the sample size limitation, a bootstrap sampling technique to estimate the confidence interval of a reliability measure was adopted to compare the control performance before and after the new system was adopted. The comparison results showed that in selected time period-route combinations, SCATS performed better than the before system, but the overall performance is comparable each other. Also it was found that traffic control system performance evaluation may lead to different results depending on the measure selection.
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      Adaptive traffic control systems often require additional sensors and more advanced computing technologies than time-of-day control, resulting in a more costly system installation. A more comprehensive evaluation than traditionally undertaken is neede...

      Adaptive traffic control systems often require additional sensors and more advanced computing technologies than time-of-day control, resulting in a more costly system installation. A more comprehensive evaluation than traditionally undertaken is needed to justify these increased costs. Conventional measures to evaluate traffic signal control have been average measures, such as average speed, travel time, delay, etc. Depending on the selected measures, the evaluation results may favor different systems. Thus, to address the need for a more comprehensive evaluation, this study explores measures that aim to quantify travel time reliability. From the transportation system perspective, reliability is commonly defined according to the level of travel time variation or the probability that travelers will arrive at their destination within a given time. To quantify this, reliability measures are often closely associated with the width of travel time distribution, or 95th percentile travel time, implying that estimating a reliability measure with a reasonable accuracy requires more data than estimating an average measure. The evaluation of traffic signal control on arterials has typically relied on test vehicle data in which the sample size is limited in most applications. Given the above background, the main objective is to provide a method to evaluate the effect of an adaptive traffic signal control system using reliability measures based on test vehicle data. The method is presented using the data collected in the SCATS pilot study in Cobb County GA, U.S. To achieve the objective, existing travel time reliability measures were reviewed, and appropriate measures are selected for the evaluation. To overcome the sample size limitation, a bootstrap sampling technique to estimate the confidence interval of a reliability measure was adopted to compare the control performance before and after the new system was adopted. The comparison results showed that in selected time period-route combinations, SCATS performed better than the before system, but the overall performance is comparable each other. Also it was found that traffic control system performance evaluation may lead to different results depending on the measure selection.

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      참고문헌 (Reference)

      1 Roess, R., "Traffic Engineering" Pearson Education Inc 2004

      2 Cambridge Systematics, Inc., "Traffic Congestion and Reliability" FHWA 2005

      3 Hastie, T., "The Elements of Statistical Learning" Springer 2001

      4 Schrank, D., "The 2002 Urban Mobility Report" 2002

      5 Lomax, T., "Selecting Travel Reliability Measures" 2003

      6 Lowrie, P. R., "SCATS Sydney, Co-Ordinated Adaptive Traffic System, A Traffic Responsive Method of Controlling Urban Traffic" 1990

      7 Jackson, D. D., "Reliability as a Measure of Transportation System Performance" Texas A&M University 2000

      8 Lomax, T., "Quantifying Congestion" NCHRP 1997

      9 Kvam, P. H., "Nonparametirc Statistics with Applications to Science and Engineering" Wiley-Interscience 2007

      10 Eghtedari, A. G., "Measuring the Benefit of Adaptive Traffic Signal Control : Case Study Of Mill Plain Blvd. Vancouver, Washington" 2006

      1 Roess, R., "Traffic Engineering" Pearson Education Inc 2004

      2 Cambridge Systematics, Inc., "Traffic Congestion and Reliability" FHWA 2005

      3 Hastie, T., "The Elements of Statistical Learning" Springer 2001

      4 Schrank, D., "The 2002 Urban Mobility Report" 2002

      5 Lomax, T., "Selecting Travel Reliability Measures" 2003

      6 Lowrie, P. R., "SCATS Sydney, Co-Ordinated Adaptive Traffic System, A Traffic Responsive Method of Controlling Urban Traffic" 1990

      7 Jackson, D. D., "Reliability as a Measure of Transportation System Performance" Texas A&M University 2000

      8 Lomax, T., "Quantifying Congestion" NCHRP 1997

      9 Kvam, P. H., "Nonparametirc Statistics with Applications to Science and Engineering" Wiley-Interscience 2007

      10 Eghtedari, A. G., "Measuring the Benefit of Adaptive Traffic Signal Control : Case Study Of Mill Plain Blvd. Vancouver, Washington" 2006

      11 Hamilton, B. A., "Integrated Corridor Traffic Management Final Evaluation Report" Minnesota Department of Transportation 2000

      12 "Florida's Mobility Performance Measures Program" Florida Department of Transportation, Office of the State Transportation Planner 2000

      13 Peters, J. M., "Field-Based Evaluation of Corridor Performance after Deployment of an Adaptive Signal Control Systems in Gresham, Oregon" 2008

      14 Andrews, C. M., "Evaluation of New Jersey Route 18 OPAC/MIST Traffic Control System" 1603 : 1997

      15 Ruberti, A., "Control Methods in Urban Traffic Areas" 2004

      16 CID Traffic Counts, "Cobb County Department of Transportation" 2004

      17 Hunter, M. P., "Cobb County ATMS Phase III Evaluation" Cobb County 2005

      18 Taylor, W. C., "Analysis of Corridor Delay under SCATS Control" Michigan State University 1998

      19 James E. Moore, I., "Anaheim Advanced Traffic Control System Field Operations Test: A Technical Evaluation of SCOOT" 28 (28): 2005

      20 Martin, P. T., "Adaptive Signal Control V" SCATS Evaluation in Park City 2008

      21 SRF Consulting Group, Inc, "AUSCI Adaptive Urban Signal Control and Integration" Minnesota Department of Transportation 2000

      22 Ghaman, R. S., "ACS-Lite FHWA Adaptive Signal Control Systems" FHWA 2008

      23 Polus, A., "A Study of Travel Time and Reliability on Arterial Routes" 8 : 1979

      24 Hunter, M., "A Probe Vehicle Based Evaluation of Adaptive Traffic Signal Control" 13 (13): 2012

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2022 평가예정 재인증평가 신청대상 (재인증)
      2019-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2016-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2012-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2011-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2009-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.47 0.47 0.46
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.42 0.42 0.798 0.12
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