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- W4289653649 abstract "Analyzing the variability of public transit travel time is an important aspect of transit operations planning. With the incorporation of onboard GPS systems, the data needed for such analysis are readily available and can be utilized for improving the overall quality of the public transit service. In this regard, the GPS logs of local public transit buses of Tumakuru, a smart city of Karnataka, India, are studied to explore the variability of travel at spatial–temporal scales such as time of the day and peak-off-peak hours in a day. The travel time data are characterized by fitting various statistical distributions as recommended in the existing literature. The results of the study recommend that currently the schedule is fixed throughout the day and it can be varied, as the travel time clearly shows variations according to the time of the day. The most common distribution that fits the data are logistic, according to the Kolmogorov–Smirnov goodness of fit test conducted and it can be concluded that, for further analysis of travel times, models based on logistic function are suitable for Tumakuru city." @default.
- W4289653649 created "2022-08-03" @default.
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- W4289653649 date "2022-08-04" @default.
- W4289653649 modified "2023-09-25" @default.
- W4289653649 title "Variability Analysis of Public Transit Bus Travel Time Using GPS Logs: A Case Study" @default.
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- W4289653649 doi "https://doi.org/10.1007/978-981-19-2065-3_60" @default.
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