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    검지기 데이터를 활용한 연속교통류 특성분석 = An Analysis of Uninterrupted Traffic Flow Characteristics using Detector Data

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    https://www.riss.kr/link?id=A35493037

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    Since urban Freeway, plays a major function in the city's roadway network, comprehensive and analysis should be performed with volume, speed, occupancy data of the freeway. Row of traffic variables are collected in real-time from the detectors of the recently implemented ITS. And average speed or travel time are produced based on the data. However, there are many things to be desired in interpreting the data.
    In this context, this research aimed to adopt various methods for analising the detector data, to find out dynamic traffic flow characteristics, such as congestion occurrence point, congestion processing, shock-wave effect of upstream as well as macroscopic u-q-k relationships.
    It is expected that various analysis methods of detector data presented in this thesis should help the freeway traffic management center produce the more effective control strategies. Productions of the control strategies with the proposed analysis results remains further study.
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    Since urban Freeway, plays a major function in the city's roadway network, comprehensive and analysis should be performed with volume, speed, occupancy data of the freeway. Row of traffic variables are collected in real-time from the detectors of the ...

    Since urban Freeway, plays a major function in the city's roadway network, comprehensive and analysis should be performed with volume, speed, occupancy data of the freeway. Row of traffic variables are collected in real-time from the detectors of the recently implemented ITS. And average speed or travel time are produced based on the data. However, there are many things to be desired in interpreting the data.
    In this context, this research aimed to adopt various methods for analising the detector data, to find out dynamic traffic flow characteristics, such as congestion occurrence point, congestion processing, shock-wave effect of upstream as well as macroscopic u-q-k relationships.
    It is expected that various analysis methods of detector data presented in this thesis should help the freeway traffic management center produce the more effective control strategies. Productions of the control strategies with the proposed analysis results remains further study.

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