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• W2052848632 abstract "The need to measure urban link travel time (ULTT) is becoming increasingly important for network management and traveler information provision. This paper proposes the use of the k nearest neighbors (k-NN) technique to estimate ULTT with the use of single loop inductive loop detector (ILD) data. Real-world data from London is used. This paper explores the sensitivity of travel time estimates to various k-NN design parameters. It finds that the k-NN method is not particularly sensitive to the distance metric, although care must be taken in selecting the right combination of local estimation method (LEM) and value of k. A robust LEM should be used. The optimized k-NN model is found to provide more accurate estimates than other ULTT methods. To obtain a more accurate estimate of ULTT, a potential application of this approach could be to aggregate GPS probe vehicle ULTT records from different times but the same underlying travel time distribution." @default.
• W2052848632 created "2016-06-24" @default.
• W2052848632 creator A5077430514 @default.
• W2052848632 creator A5080337477 @default.
• W2052848632 date "2005-01-01" @default.
• W2052848632 modified "2023-09-23" @default.
• W2052848632 title "Modeling Urban Link Travel Time with Inductive Loop Detector Data by Using the k-NN Method" @default.
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• W2052848632 doi "https://doi.org/10.3141/1935-06" @default.
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