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Trip Purpose Imputation Using GPS Trajectories with Machine Learning
16 references·0 citing·39 second hop
Trip Purpose Imputation Using GPS Trajectories with Machine Learning (2021)Trip Purpose Imputation Using GPS Traject…Reviewing trip purpose imputation in GPS-based travel surveys (2020)Reviewing trip purpose imputa…An approach to imputing destination activities for inclusion in measures of bicycle accessibility (2019)An approach to imputing desti…Real-time trip purpose prediction using online location-based search and discovery services (2017)Real-time trip purpose predic…Data selection in machine learning for identifying trip purposes and travel modes from longitudinal GPS data collection lasting for seasons (2017)Data selection in machine lea…Detecting trip purposes from smartphone-based travel surveys with artificial neural networks and particle swarm optimization (2016)Detecting trip purposes from …Imputing trip purposes for long-distance travel (2015)Imputing trip purposes for lo…Detecting activity type from GPS traces using spatial and temporal information (2015)Detecting activity type from …Trip Purpose Identification from GPS Tracks (2014)Trip Purpose Identification f…Evaluation of Two Methods for Identifying Trip Purpose in GPS-Based Household Travel Surveys (2014)Evaluation of Two Methods for…Deriving Personal Trip Data from GPS Data: A Literature Review on the Existing Methodologies (2014)Deriving Personal Trip Data f…Data Preprocessing in Data Mining (2014)Data Preprocessing in Data Mi…A process for trip purpose imputation from Global Positioning System data (2013)A process for trip purpose im…Deriving Rules for Trip Purpose Identification from GPS Travel Survey Data and Land Use Data: A Machine Learning Approach (2010)Deriving Rules for Trip Purpo…C5.0 Classification Algorithm and Application on Individual Credit Evaluation of Banks (2009)C5.0 Classification Algorithm…Structures of Leisure Travel: Temporal and Spatial Variability (2004)Structures of Leisure Travel:…Data mining for direct marketing: problems and solutions (1998)Data mining for direct market…The allocation of time: empirical findings, behavioral models and problems of measurement (1991)Observing the rhythms of daily life: A six-week travel diary (2002)The Impacts of Ict on leisure Activities and Travel: A Conceptual Exploration (2006)Transportation Research Part A: Policy and Practice (2009)A SENTIMENTAL JOURNEY TO CRIME: EFFECTS OF RESIDENTIAL HISTORY ON CRIME LOCATION CHOICE* (2010)Sustainable tourism development and competitiveness: The systematic literature review (2020)Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel Data (2001)A high-precision heuristic model to detect home and work locations from smart card data (2018)How does machine learning compare to conventional econometrics for transport data sets? 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References

  • 2014Data Preprocessing in Data Mining1,374 cited
  • 1998Data mining for direct marketing: problems and solutions658 cited
  • 2004Structures of Leisure Travel: Temporal and Spatial Variability171 cited
  • 2014Deriving Personal Trip Data from GPS Data: A Literature Review on the Existing Methodologies162 cited
  • 2009C5.0 Classification Algorithm and Application on Individual Credit Evaluation of Banks115 cited
  • 2016Detecting trip purposes from smartphone-based travel surveys with artificial neural networks and particle swarm optimization114 cited
  • 2017Real-time trip purpose prediction using online location-based search and discovery services97 cited
  • 2014Trip Purpose Identification from GPS Tracks87 cited
  • 2013A process for trip purpose imputation from Global Positioning System data74 cited
  • 2010Deriving Rules for Trip Purpose Identification from GPS Travel Survey Data and Land Use Data: A Machine Learning Approach57 cited
  • 2019An approach to imputing destination activities for inclusion in measures of bicycle accessibility54 cited
  • 2020Reviewing trip purpose imputation in GPS-based travel surveys53 cited
  • 2014Evaluation of Two Methods for Identifying Trip Purpose in GPS-Based Household Travel Surveys48 cited
  • 2017Data selection in machine learning for identifying trip purposes and travel modes from longitudinal GPS data collection lasting for seasons

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42 cited
  • 2015Detecting activity type from GPS traces using spatial and temporal information30 cited
  • 2015Imputing trip purposes for long-distance travel26 cited
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