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- W646141604 abstract "Travel time variability (TTV) is the term used to describe the variation in travel times that occur when undertaking the same physical journey over a fixed section of road. For many travelers the reduction in variability of travel time is as important, if not more important, than the reduction in expected travel time. It is thus important for practitioners to be able to characterize and analyze TTV on a road link. However, the measurement of TTV using conventional methods can be awkward and costly. This paper proposes the use of the k-NN method, using inductive loop detector data (ILD) as the input, to characterize and analyze TTV. This paper also disaggregates TTV into 3 temporal components: day-to-day (d2d) TTV, period-to-period (p2p) TTV, and vehicle-to-vehicle (v2v) TTV. Real world data from two road links in Central London is used. Results from this research suggest that k-NN derived travel time data can be used to successfully characterize TTV." @default.
- W646141604 created "2016-06-24" @default.
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- W646141604 date "2007-01-01" @default.
- W646141604 modified "2023-09-24" @default.
- W646141604 title "Characterizing Components of Urban Travel Time Variability Using k-Nearest-Neighbor Method" @default.
- W646141604 hasPublicationYear "2007" @default.
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