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ModeSense: Ubiquitous and Accurate Transportation Mode Detection using Serving Cell Tower Information
8 references·0 citing·22 second hop
ModeSense: Ubiquitous and Accurate Transportation Mode Detection using Serving Cell Tower Information (2024)ModeSense: Ubiquitous and Accurate Transp…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…Locomotion-Transportation Recognition via LSTM and GPS Derived Feature Engineering from Cell Phone Data (2021)Locomotion-Transportation Rec…Ubiquitous Transportation Mode Detection Using Single Cell Tower Information (2020)Ubiquitous Transportation Mod…CellTrans (2019)CellTransSpatial context mining approach for transport mode recognition from mobile sensed big data (2017)Spatial context mining approa…Transportation mode detection using mobile phones and GIS information (2011)Transportation mode detection…Understanding mobility based on GPS data (2008)Understanding mobility based …Learning and inferring transportation routines (2007)Learning transportation mode from raw gps data for geographic applications on the web (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)Using GPS to learn significant locations and predict movement across multiple users (2003)Next place prediction using mobility Markov chains (2012)Understanding Human Mobility from Twitter (2015)Human mobility: Models and applications (2018)The sustainable mobility paradigm (2007)Understanding individual human mobility patterns (2008)Big Data: A Survey (2014)Exploring strengths and weaknesses of mobility inference from mobile phone data vs. travel surveys (2020)Reviewing trip purpose imputation in GPS-based travel surveys (2020)A data fusion approach with mobile phone data for updating travel survey-based mode split estimates (2023)Modelling the scaling properties of human mobility (2010)CellSense (2021)Mobility Detection Using Everyday GSM Traces (2006)Inferring hybrid transportation modes from sparse GPS data using a moving window SVM classification (2012)Inferring transportation mode from smartphone sensors: Evaluating the potential of Wi-Fi and Bluetooth (2020)Transportation mode identification with GPS trajectory data and GIS information (2021)Urban transport in developing countries (2003)
this work references cited by second hop

References

  • 2008Understanding mobility based on GPS data1,131 cited
  • 2011Transportation mode detection using mobile phones and GIS information451 cited
  • 2017Spatial context mining approach for transport mode recognition from mobile sensed big data61 cited
  • 2019CellTrans17 cited
  • 2020Ubiquitous Transportation Mode Detection Using Single Cell Tower Information12 cited
  • 2024Robust and Ubiquitous Mobility Mode Estimation Using Limited Cellular Information10 cited
  • 2023Ubiquitous Transportation Mode Estimation using Limited Cell Tower Information8 cited
  • 2021Locomotion-Transportation Recognition via LSTM and GPS Derived Feature Engineering from Cell Phone Data6 cited

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