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TRAC-IT: Software Architecture Supporting Simultaneous Travel Behavior Data Collection and Real-Time Location-Based Services for GPS-Enabled Mobile Phones
9 references·5 citing·30 second hop
TRAC-IT: Software Architecture Supporting Simultaneous Travel Behavior Data Collection and Real-Time Location-Based Services for GPS-Enabled Mobile Phones (2009)TRAC-IT: Software Architecture Supporting…Dynamic Management of Real-Time Location Data on GPS-Enabled Mobile Phones (2008)Dynamic Management of Real-Ti…Automating Mode Detection Using Neural Networks and Assisted GPS Data Collected Using GPS-Enabled Mobile Phones (2008)Automating Mode Detection Usi…30th Australasian Transport Research Forum (2007)30th Australasian Transport R…Applications of New Technologies in Travel Surveys (2006)Applications of New Technolog…Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel Data (2001)Elimination of the Travel Dia…USING GLOBAL POSITIONING SYSTEMS AND PERSONAL DIGITAL ASSISTANTS FOR PERSONAL TRAVEL SURVEYS IN THE UNITED STATES (2000)USING GLOBAL POSITIONING SYST…Global Positioning System as Data Collection Method for Travel Research (2000)Global Positioning System as …Can using global positioning system (GPS) improve trip reporting? (1999)Can using global positioning …SURVEY METHODS FOR TRANSPORT PLANNING (1995)SURVEY METHODS FOR TRANSPORT …Design and implementation of a smartphone-based system for personal travel survey: case study from New Zealand (2015)Design and implementation of …Using Smartphones to Capture Personal Travel Behavior (2014)Using Smartphones to Capture …Travel Behavior Characterization Using Raw Accelerometer Data Collected from Smartphones (2014)Travel Behavior Characterizat…Automatic identification of points of interest in global navigation satellite system data (2013)Automatic identification of p…ATLAS Project: developing a mobile-based travel survey (2013)ATLAS Project: developing a m…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)Transportation mode detection using mobile phones and GIS information (2011)Use of technology to improve bicycle mobility in smart cities (2017)“Is there any time left for walking?” Physical activity implications of suburban commuting in the Barcelona metropolitan region (2019)Activity‐based approaches to travel analysis: conceptual frameworks, models, and research problems (1992)Measuring transit use variability with smart-card data (2007)Conceptualizing the healthscape: Contributions of time geography, location technologies and spatial ecology to place and health research (2009)Behavioural data mining of transit smart card data: A data fusion approach (2014)Performance Evaluation of Line Simplification Algorithms for Vector Generalization (2006)Using GPS data loggers to replace travel diaries in the collection of travel data (2000)Analysis of tourist behaviour based on the tracking data collected using a mobile communication instrument (2007)Assessing the accuracy of the Sydney Household Travel Survey with GPS (2007)Tracking tourists in the digital age (2007)Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones (2010)Applying mobile phone data to travel behaviour research: A literature review (2017)A Social Network Analysis of Overseas Tourist Movement Patterns in Beijing: the Impact of the Olympic Games (2011)An analysis of the factors influencing differences in survey-reported and GPS-recorded trips (2011)Real-time trip purpose prediction using online location-based search and discovery services (2017)A Decision Tree Based Classification Model to Automate Trip Purpose Derivation. (2005)Effective Classification of Ground Transportation Modes for Urban Data Mining in Smart Cities (2018)A Semi-Supervised Deep Residual Network for Mode Detection in Wi-Fi Signals (2020)Evaluating the Congestion Relief Impacts of Public Transport in Monetary Terms (2010)The determinants of the commuting burden of low-income workers: evidence from Beijing (2015)Exploring the public's willingness to reduce air pollution and greenhouse gas emissions from private road transport in Catalonia (2018)Precision of geocoded locations and network distance estimates (2004)Analysis of Household Survey Sample Size in Trip Modelling Process (2016)Activity patterns mining in Wi-Fi access point logs (2017)Life-space characterization from cellular telephone collected GPS data (2013)On the requirements on spatial accuracy and sampling rate for transport mode detection in view of a shift to passive signalling data (2020)
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References

  • 2001Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel Data394 cited
  • 1995SURVEY METHODS FOR TRANSPORT PLANNING344 cited
  • 1999Can using global positioning system (GPS) improve trip reporting?282 cited
  • 2006Applications of New Technologies in Travel Surveys134 cited
  • 2000Global Positioning System as Data Collection Method for Travel Research116 cited
  • 200730th Australasian Transport Research Forum105 cited
  • 2008Dynamic Management of Real-Time Location Data on GPS-Enabled Mobile Phones46 cited
  • 2008Automating Mode Detection Using Neural Networks and Assisted GPS Data Collected Using GPS-Enabled Mobile Phones41 cited
  • 2000USING GLOBAL POSITIONING SYSTEMS AND PERSONAL DIGITAL ASSISTANTS FOR PERSONAL TRAVEL SURVEYS IN THE UNITED STATES33 cited

Cited by

  • 2014Travel Behavior Characterization Using Raw Accelerometer Data Collected from Smartphones21 cited
  • 2013ATLAS Project: developing a mobile-based travel survey16 cited
  • 2015Design and implementation of a smartphone-based system for personal travel survey: case study from New Zealand14 cited
  • 2013Automatic identification of points of interest in global navigation satellite system data8 cited
  • 2014Using Smartphones to Capture Personal Travel Behavior

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6 cited