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A Semi-Supervised Deep Residual Network for Mode Detection in Wi-Fi Signals
16 references·3 citing·35 second hop
A Semi-Supervised Deep Residual Network for Mode Detection in Wi-Fi Signals (2020)A Semi-Supervised Deep Residual Network f…Transportation Mode Detection from Low-Power Smartphone Sensors Using Tree-Based Ensembles (2019)Transportation Mode Detection…Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data (2019)Semi-Supervised Deep Learning…An automated approach from GPS traces to complete trip information (2018)An automated approach from GP…Who you are is how you travel: A framework for transportation mode detection using individual and environmental characteristics (2017)Who you are is how you travel…Travel mode estimation for multi-modal journey planner (2017)Travel mode estimation for mu…Inferring transportation modes from GPS trajectories using a convolutional neural network (2017)Inferring transportation mode…Activity patterns mining in Wi-Fi access point logs (2017)Activity patterns mining in W…Ubiquitous monitoring of pedestrian dynamics: Exploring wireless ad hoc network of multi-sensor technologies (2015)Ubiquitous monitoring of pede…Transportation mode detection using mobile phones and GIS information (2011)Transportation mode detection…A GPS/GIS method for travel mode detection in New York City (2011)A GPS/GIS method for travel m…Transportation mode inference from anonymized and aggregated mobile phone call detail records (2010)Transportation mode inference…Evaluating the feasibility of a passive travel survey collection in a complex urban environment: Lessons learned from the New York City case study (2010)Evaluating the feasibility of…Understanding mobility based on GPS data (2008)Understanding mobility based …Mobility Detection Using Everyday GSM Traces (2006)Mobility Detection Using Ever…Household travel surveys: Where are we going? (2006)Household travel surveys: Whe…USING GLOBAL POSITIONING SYSTEMS AND PERSONAL DIGITAL ASSISTANTS FOR PERSONAL TRAVEL SURVEYS IN THE UNITED STATES (2000)USING GLOBAL POSITIONING SYST…Comparative study of K-NN algorithm for transportation mode detection using mobile phone sensor data (2024)Comparative study of K-NN alg…Activity type detection of mobile phone data based on self-training: Application of the teacher–student cycling model (2024)Activity type detection of mo…Semi-supervised Mode Classification of Inter-city Trips from Cellular Network Data (2022)Semi-supervised Mode Classifi…Inferring 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)Understanding individual human mobility patterns (2008)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Inferring hybrid transportation modes from sparse GPS data using a moving window SVM classification (2012)Estimating human trajectories and hotspots through mobile phone data (2014)Transport mode detection based on mobile phone network data: A systematic review (2019)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)Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel Data (2001)Children's Independent Movement in the Local Environment (2007)Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands (2009)Processing Raw Data from Global Positioning Systems without Additional Information (2009)Combining smart card data and household travel survey to analyze jobs–housing relationships in Beijing (2015)Algorithmic Geographies: Big Data, Algorithmic Uncertainty, and the Production of Geographic Knowledge (2016)Assessing the potential for carbon emissions savings from replacing short car trips with walking and cycling using a mixed GPS-travel diary approach (2018)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)DIRECT AND INVERSE SOLUTIONS OF GEODESICS ON THE ELLIPSOID WITH APPLICATION OF NESTED EQUATIONS (1975)The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets (2018)Optimal Detection of Changepoints With a Linear Computational Cost (2012)Semi-supervised deep ensemble learning for travel mode identification (2020)Review and evaluation of methods in transport mode detection based on GPS tracking data (2021)Trajectory-as-A-Sequence: A Novel Travel Mode Identification Framework (2022)Deriving Personal Trip Data from GPS Data: A Literature Review on the Existing Methodologies (2014)From traces to trajectories: How well can we guess activity locations from mobile phone traces? 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References

  • 2008Understanding mobility based on GPS data1,131 cited
  • 2011Transportation mode detection using mobile phones and GIS information451 cited
  • 2017Inferring transportation modes from GPS trajectories using a convolutional neural network404 cited
  • 2006Household travel surveys: Where are we going?317 cited
  • 2011A GPS/GIS method for travel mode detection in New York City293 cited
  • 2006Mobility Detection Using Everyday GSM Traces277 cited
  • 2010Transportation mode inference from anonymized and aggregated mobile phone call detail records207 cited
  • 2010Evaluating the feasibility of a passive travel survey collection in a complex urban environment: Lessons learned from the New York City case study193 cited
  • 2019Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data156 cited
  • 2017Who you are is how you travel: A framework for transportation mode detection using individual and environmental characteristics76 cited
  • 2017Travel mode estimation for multi-modal journey planner60 cited
  • 2018An automated approach from GPS traces to complete trip information47 cited
  • 2017Activity patterns mining in Wi-Fi access point logs33 cited
  • 2000USING GLOBAL POSITIONING SYSTEMS AND PERSONAL DIGITAL ASSISTANTS FOR PERSONAL TRAVEL SURVEYS IN THE UNITED STATES

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33 cited
  • 2019Transportation Mode Detection from Low-Power Smartphone Sensors Using Tree-Based Ensembles26 cited
  • 2015Ubiquitous monitoring of pedestrian dynamics: Exploring wireless ad hoc network of multi-sensor technologies24 cited
  • Cited by

    • 2024Activity type detection of mobile phone data based on self-training: Application of the teacher–student cycling model13 cited
    • 2022Semi-supervised Mode Classification of Inter-city Trips from Cellular Network Data8 cited
    • 2024Comparative study of K-NN algorithm for transportation mode detection using mobile phone sensor data4 cited