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- W588562018 abstract "Freight transportation planning is largely limited by the amount, quality, and detailed truck trip data. Most truck movement data are reported at the inter-county level and represented as aggregated tonnages that must be broken down into truck trips. Additionally, intra-county flows can be largely under-represented and commercially available commodity flow databases are prohibitively expensive. Surveying truck drivers (such as at truck stops or at terminal gates) and following trucks from terminals are time-consuming and require a great amount of labor to process the survey data. Truck trip traffic generated from these aforementioned sources relies on outdated and insufficient traffic generation data while truck trip generation and assignment models are seldom validated or calibrated. In this study, the authors present a case study of how global positioning system (GPS) truck data can be applied to determine a number of freight performance indicators. This research has the potential to address difficulties encountered by a number of state departments of transportation in effectively integrating freight transportation into the long-range transportation planning process." @default.
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- W588562018 date "2014-01-01" @default.
- W588562018 modified "2023-09-23" @default.
- W588562018 title "Developing Freight Performance Measures Using GPS Truck Data" @default.
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