Classifying the purpose of stopped truck events: An application of entropy to GPS data |
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| Affiliation: | 1. Cross-Border Institute, University of Windsor, 401 Sunset Ave., Windsor, ON N9B 3P4, Canada;2. Department of Civil and Environmental Engineering, University of Windsor, 401 Sunset Ave., Windsor, ON N9B 3P4, Canada;3. Department of Political Science, University of Windsor, 401 Sunset Ave., Windsor, ON N9B 3P4, Canada;1. Significance, The Netherlands;2. ITS Leeds, United Kingdom;3. MINT, Belgium;4. Verkeerscentrum, Departement MOW, Flemish Authorities, Belgium;1. HDR, 504 Lavaca Street, Suite 1175, Austin, TX 78701, United States;2. The University of Texas at Austin, Dept of Civil, Architectural and Environmental Engineering, 301 E. Dean Keeton St. Stop C1761, Austin, TX 78712-1172, United States;1. Institute for Transport Studies, University of Leeds and Significance, The Netherlands;2. Delft University of Technology and TNO, The Netherlands;3. John Bates Services, United Kingdom;4. Norwegian Business School and SITMA, Norway;5. German Aerospace Center, Germany;6. Norwegian Road Administration, Norway;7. Technische Universität Darmstadt, Germany;8. Dutch Ministry of Infrastructure and the Environment, The Netherlands;1. Department of Civil Engineering, Ryerson University, Toronto, ON, Canada;2. Department of Civil and Urban Engineering, New York University, New York, NY, USA;1. Department of Civil and Environmental Engineering, University of Washington, Seattle, WA 98195, United States;2. Department of Industrial and Systems Engineering, University of Washington, Seattle, WA 98195, United States;1. HDR, 504 Lavaca Street, Suite 1175, Austin, TX 78701, United States;2. University of Texas at Austin, Dept of Civil, Architectural and Environmental Engineering, 301 E. Dean Keeton St. Stop C1761, Austin, TX 78712-1172, United States |
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| Abstract: | ![]()
This paper applies the concept of entropy to mine large volumes of global positioning system (GPS) data in order to determine the purpose of stopped truck events. Typical GPS data does not provide detailed activity information for a given stop or vehicle movement. We categorize stop events into two types: (1) primary stops where goods are transferred and (2) secondary stops where vehicle and driver needs are met, such as rest stations. The proposed entropy technique measures the diversity of truck carriers with trucks that dwell for 15 min or longer at a given location. Larger entropy arises from a greater variety of carriers and an even distribution of stop events among these carriers. An analysis confirms our initial hypothesis that the stop locations used for secondary purposes such as fuel refills and rest breaks tend to have higher entropy, reflecting the diversity of trucks and carriers that use these facilities. Conversely, primary shipping depots and other locations where goods are transferred tend to have lower entropy due to the lower variety of carriers that utilize such locations. |
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| Keywords: | Freight transportation Stop purpose Global positioning system (GPS) data Entropy |
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