Predicting a Vehicle's Distance Traveled from Short-duration Data
This article uses one year’s worth of daily travel distance data for 252 Seattle households’ vehicles to ascertain that one day’s distance (plus day of week and month of year information) accounts for 10.7% of the variability in that vehicle’s annual (total) distance traveled, while two and seven co...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Network Design Lab
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| Series: | Transport Findings |
| Online Access: | http://transportfindings.scholasticahq.com/article/10110-predicting-a-vehicle-s-distance-traveled-from-short-duration-data.pdf |