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Impact of Sampling Rate of GPS-Enabled Cell Phones on Mode Detection and GIS Map Matching Performance
0 references·4 citing·14 second hop
Impact of Sampling Rate of GPS-Enabled Cell Phones on Mode Detection and GIS Map Matching Performance (2007)Impact of Sampling Rate of GPS-Enabled Ce…Classification of Travel Modes Using Streaming GNSS Data (2019)Classification of Travel Mode…A novel methodology for identifying environmental exposures using GPS data (2016)A novel methodology for ident…A Simulation Study on Automated Transport Mode Detection in Near-Real Time using a Neural Network (2015)A Simulation Study on Automat…Geo-ICT in Transportation Science (2009)Geo-ICT in Transportation Sci…Locational Analysis in Human Geography (1967)Locational Analysis in Human Geography (1980)Spatial Behavior: A Geographic Perspective (1998)GIS-based decision support system for multi criteria analysis of intermodal transport networks (2015)Fuzzy sets (1996)Inferring High-Level Behavior from Low-Level Sensors (2003)Understanding mobility based on GPS data (2008)Learning transportation mode from raw gps data for geographic applications on the web (2008)Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands (2009)Towards a Framework for Assessing Daily Mobility Using GPS Data (2018)The “uneven road” to food: Socioeconomic disparities in the mobility burden of food purchasing behavior in major US cities, 2019–2023 (2024)Transportation mode detection using mobile phones and GIS information (2011)Transition State Matrices Approach for Trajectory Segmentation Based on Transport Mode Change Criteria (2022)Enhancing transport mode classification benchmark by integrating spatial independence with multimodal dataset (2024)
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  • 2016A novel methodology for identifying environmental exposures using GPS data14 cited
  • 2019Classification of Travel Modes Using Streaming GNSS Data9 cited
  • 2009Geo-ICT in Transportation Science3 cited
  • 2015A Simulation Study on Automated Transport Mode Detection in Near-Real Time using a Neural Network2 cited

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