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The Diversity and Scale Matter: Ubiquitous Transportation Mode Detection Using Single Cell Tower Information
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The Diversity and Scale Matter: Ubiquitous Transportation Mode Detection Using Single Cell Tower Information (2015)The Diversity and Scale Matter: Ubiquitou…Inferring hybrid transportation modes from sparse GPS data using a moving window SVM classification (2012)Inferring hybrid transportati…Transportation mode detection using mobile phones and GIS information (2011)Transportation mode detection…Mobility Detection Using Everyday GSM Traces (2006)Mobility Detection Using Ever…Robust and Ubiquitous Mobility Mode Estimation Using Limited Cellular Information (2024)Robust and Ubiquitous Mobilit…Ubiquitous Transportation Mode Estimation using Limited Cell Tower Information (2023)Ubiquitous Transportation Mod…Transport planning and big data (2023)Transport planning and big da…Outdoor Position Recovery From Heterogeneous Telco Cellular Data (2022)Outdoor Position Recovery Fro…A Travel Mode Identification Framework Based on Cellular Signaling Data (2022)A Travel Mode Identification …A CNN-based Transportation Type Identification for 5G Mobile Networks Using Cellular Information (2021)A CNN-based Transportation Ty…Ubiquitous Transportation Mode Detection Using Single Cell Tower Information (2020)Ubiquitous Transportation Mod…Transportation Type Identification by using Machine Learning Algorithms with Cellular Information (2019)Transportation Type Identific…Trans-Sense: Real Time Transportation Schedule Estimation Using Smart Phones (2019)Trans-Sense: Real Time Transp…Sensing Human Activity for Smart Cities’ Mobility Management (2016)Sensing Human Activity for Sm…Poster (2016)PosterInferring High-Level Behavior from Low-Level Sensors (2003)Reality mining: sensing complex social systems (2005)Understanding and capturing people’s privacy policies in a mobile social networking application (2008)Mining Individual Life Pattern Based on Location History (2009)Discovering routines from large-scale human locations using probabilistic topic models (2011)The Measurement of Observer Agreement for Categorical Data (1977)Assessing agreement on classification tasks: the kappa statistic (1996)Learning transportation mode from raw gps data for geographic applications on the web (2008)Urban sensing: Using smartphones for transportation mode classification (2014)Travel mode detection based on GPS track data and Bayesian networks (2015)Machine learning applications in activity-travel behaviour research: a review (2020)Learning and inferring transportation routines (2007)Understanding mobility based on GPS data (2008)Review of GPS Travel Survey and GPS Data-Processing Methods (2014)Applying mobile phone data to travel behaviour research: A literature review (2017)Inferring transportation modes from GPS trajectories using a convolutional neural network (2017)Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures (2003)Nonresponse Rates and Nonresponse Bias in Household Surveys (2006)Understanding individual human mobility patterns (2008)Modelling the scaling properties of human mobility (2010)Decomposition of travel time expenditure through individual mobility trajectories based on mobile phone signaling data (2023)A Transport Mode Detection Framework Based on Mobile Phone Signaling Data Combined with Bus GPS Data (2024)Transfer learning-based approach for fine-grained travel mode identification on mobile phone signalling data (2025)Uncovering individual and collective human dynamics from mobile phone records (2008)Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)Enthralling Prefigurative Urban and Regional Planning Forward (2023)Urban transport in developing countries (2003)ModeSense: Ubiquitous and Accurate Transportation Mode Detection using Serving Cell Tower Information (2024)Locomotion-Transportation Recognition via LSTM and GPS Derived Feature Engineering from Cell Phone Data (2021)
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References

  • 2011Transportation mode detection using mobile phones and GIS information451 cited
  • 2006Mobility Detection Using Everyday GSM Traces277 cited
  • 2012Inferring hybrid transportation modes from sparse GPS data using a moving window SVM classification191 cited

Cited by

  • 2022A Travel Mode Identification Framework Based on Cellular Signaling Data14 cited
  • 2020Ubiquitous Transportation Mode Detection Using Single Cell Tower Information12 cited
  • 2016Sensing Human Activity for Smart Cities’ Mobility Management11 cited
  • 2024Robust and Ubiquitous Mobility Mode Estimation Using Limited Cellular Information10 cited
  • 2023Transport planning and big data9 cited
  • 2023Ubiquitous Transportation Mode Estimation using Limited Cell Tower Information8 cited
  • 2016Poster5 cited
  • 2022Outdoor Position Recovery From Heterogeneous Telco Cellular Data4 cited
  • 2019Trans-Sense: Real Time Transportation Schedule Estimation Using Smart Phones4 cited
  • 2019Transportation Type Identification by using Machine Learning Algorithms with Cellular Information4 cited
  • 2021A CNN-based Transportation Type Identification for 5G Mobile Networks Using Cellular Information4 cited

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