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GPS and Acceleration Data in Multimode Trip Data Recognition Based on Wavelet Transform Modulus Maximum Algorithm
16 references·7 citing·34 second hop
GPS and Acceleration Data in Multimode Trip Data Recognition Based on Wavelet Transform Modulus Maximum Algorithm (2015)GPS and Acceleration Data in Multimode Tr…Improved methods to deduct trip legs and mode from travel surveys using wearable GPS devices: A case study from the Greater Copenhagen area (2015)Improved methods to deduct tr…Transportation mode recognition using GPS and accelerometer data (2013)Transportation mode recogniti…A GPS/GIS method for travel mode detection in New York City (2011)A GPS/GIS method for travel m…Understanding transportation modes based on GPS data for web applications (2010)Understanding transportation …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…Automating mode detection for travel behaviour analysis by using global positioning systems-enabled mobile phones and neural networks (2010)Automating mode detection for…Real-Time Transportation Mode Detection via Tracking Global Positioning System Mobile Devices (2009)Real-Time Transportation Mode…Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands (2009)Deriving and validating trip …Search for a global positioning system device to measure person travel (2007)Search for a global positioni…Real-time tracking of activity scheduling/schedule execution within a unified data collection framework (2006)Real-time tracking of activit…Enhanced System for Link and Mode Identification for Personal Travel Surveys Based on Global Positioning Systems (2006)Enhanced System for Link and …Processing GPS data from travel surveys (2005)Processing GPS data from trav…Comparison of Trip Determination Methods in Household Travel Surveys Enhanced by a Global Positioning System (2005)Comparison of Trip Determinat…A Trip Reconstruction Tool for GPS-based Personal Travel Surveys (2005)A Trip Reconstruction Tool fo…Eighty Weeks of Global Positioning System Traces: Approaches to Enriching Trip Information (2004)Eighty Weeks of Global Positi…Impact of Underreporting on Mileage and Travel Time Estimates: Results from Global Positioning System-Enhanced Household Travel Survey (2003)Impact of Underreporting on M…Travel Mode Identification for Non-Uniform Passive Mobile Phone Data (2024)Travel Mode Identification fo…Trip end identification based on spatial-temporal clustering algorithm using smartphone positioning data (2022)Trip end identification based…Transition State Matrices Approach for Trajectory Segmentation Based on Transport Mode Change Criteria (2022)Transition State Matrices App…A Multi-Scale Attributes Attention Model for Transport Mode Identification (2020)A Multi-Scale Attributes Atte…Individual Travel Transportation Modes Identification Based on Deep Learning Algorithm of Attention Mechanism (2019)Individual Travel Transportat…Towards an Application for Real-Time Travel Mode Detection in Urban Centers (2017)Towards an Application for Re…Learning Transportation Annotated Mobility Profiles from GPS Data for Context-Aware Mobile Services (2016)Learning Transportation Annot…Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel Data (2001)An automated GPS-based prompted recall survey with learning algorithms (2009)An analysis of the factors influencing differences in survey-reported and GPS-recorded trips (2011)Detecting trip purposes from smartphone-based travel surveys with artificial neural networks and particle swarm optimization (2016)Can Land-use Policy Really Affect Travel Behaviour? A Study of the Link between Non-work Travel and Land-use Characteristics (1998)GPS tracking in neighborhood and health studies: A step forward for environmental exposure assessment, a step backward for causal inference? (2013)Review of GPS Travel Survey and GPS Data-Processing Methods (2014)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Using GPS to learn significant locations and predict movement across multiple users (2003)Learning and inferring transportation routines (2007)Understanding mobility based on GPS data (2008)Transportation mode inference from anonymized and aggregated mobile phone call detail records (2010)What We Know and Don't Know about Online Word-of-Mouth: A Review and Synthesis of the Literature (2014)Analysis of human mobility patterns from GPS trajectories and contextual information (2015)Household travel surveys: Where are we going? (2006)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 Geographic Information Systems (GIS) to assess the role of the built environment in influencing obesity: a glossary (2011)Transportation mode-based segmentation and classification of movement trajectories (2012)Exploring the route choice decision-making process: A comparison of planned and observed routes obtained using person-based GPS (2009)Health Impacts of the Built Environment: Within-Urban Variability in Physical Inactivity, Air Pollution, and Ischemic Heart Disease Mortality (2011)To what extent do e-bikes substitute travel by other modes? Evidence from the Netherlands (2017)Travel Mode Detection Using GPS Data and Socioeconomic Attributes Based on a Random Forest Classifier (2017)Mobile Sensing in Environmental Health and Neighborhood Research (2018)Transport mode detection based on mobile phone network data: A systematic review (2019)Deriving Personal Trip Data from GPS Data: A Literature Review on the Existing Methodologies (2014)Travel mode detection based on GPS track data and Bayesian networks (2015)Route choice modeling with network-free data (2007)The Minimum Circuity Frontier and the Journey to Work (2009)Latent variables and route choice behavior (2011)From traces to trajectories: How well can we guess activity locations from mobile phone traces? (2014)TripImputor: Real-Time Imputing Taxi Trip Purpose Leveraging Multi-Sourced Urban Data (2018)
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References

  • 2009Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands501 cited
  • 2010Understanding transportation modes based on GPS data for web applications485 cited
  • 2011A GPS/GIS method for travel mode detection in New York City293 cited
  • 2007Search for a global positioning system device to measure person travel246 cited
  • 2013Transportation mode recognition using GPS and accelerometer data235 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
  • 2003Impact of Underreporting on Mileage and Travel Time Estimates: Results from Global Positioning System-Enhanced Household Travel Survey178 cited
  • 2006Enhanced System for Link and Mode Identification for Personal Travel Surveys Based on Global Positioning Systems165 cited
  • 2005A Trip Reconstruction Tool for GPS-based Personal Travel Surveys161 cited
  • 2004Eighty Weeks of Global Positioning System Traces: Approaches to Enriching Trip Information141 cited
  • 2010Automating mode detection for travel behaviour analysis by using global positioning systems-enabled mobile phones and neural networks136 cited
  • 2005Processing GPS data from travel surveys92 cited
  • 2005Comparison of Trip Determination Methods in Household Travel Surveys Enhanced by a Global Positioning System

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89 cited
  • 2015Improved methods to deduct trip legs and mode from travel surveys using wearable GPS devices: A case study from the Greater Copenhagen area75 cited
  • 2009Real-Time Transportation Mode Detection via Tracking Global Positioning System Mobile Devices70 cited
  • 2006Real-time tracking of activity scheduling/schedule execution within a unified data collection framework39 cited
  • Cited by

    • 2020A Multi-Scale Attributes Attention Model for Transport Mode Identification23 cited
    • 2016Learning Transportation Annotated Mobility Profiles from GPS Data for Context-Aware Mobile Services20 cited
    • 2022Trip end identification based on spatial-temporal clustering algorithm using smartphone positioning data11 cited
    • 2017Towards an Application for Real-Time Travel Mode Detection in Urban Centers9 cited
    • 2024Travel Mode Identification for Non-Uniform Passive Mobile Phone Data8 cited
    • 2019Individual Travel Transportation Modes Identification Based on Deep Learning Algorithm of Attention Mechanism7 cited
    • 2022Transition State Matrices Approach for Trajectory Segmentation Based on Transport Mode Change Criteria6 cited