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- W635762164 abstract "This study proposes a method for the real-time identification and tracking of freeway traffic queues. The method consists of the three algorithms: (1) Average Link Speed Algorithm; (2) Traffic Zone Identification Algorithm; and (3) Queue Type Identification Algorithm. The proposed method overcomes some of the limitation of existing queue tracking method by using average link speeds rather than spot speeds and by using objectively calibrated threshold speeds as a means of identifying queued condition based on field data. The proposed method is also suitable for real-time implementation. The method is evaluated using loop detector data from the Gardiner Expressway in Toronto Canada. The accuracy of the method was generally high in spite of a relatively simple model structure" @default.
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- W635762164 date "2003-01-01" @default.
- W635762164 modified "2023-09-24" @default.
- W635762164 title "Real-Time Identification and Tracking of Traffic Queues Based on Average Link Speed" @default.
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