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Identifying Transportation Modes from Raw GPS Data
10 references·16 citing·39 second hop
Identifying Transportation Modes from Raw GPS Data (2016)Identifying Transportation Modes from Raw…Urban sensing: Using smartphones for transportation mode classification (2014)Urban sensing: Using smartpho…Transportation mode-based segmentation and classification of movement trajectories (2012)Transportation mode-based seg…Inferring hybrid transportation modes from sparse GPS data using a moving window SVM classification (2012)Inferring hybrid transportati…Transportation mode detection using mobile phones and GIS information (2011)Transportation mode detection…Processing Raw Data from Global Positioning Systems without Additional Information (2009)Processing Raw Data from Glob…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 …Understanding mobility based on GPS data (2008)Understanding mobility based …Learning transportation mode from raw gps data for geographic applications on the web (2008)Learning transportation mode …Search for a global positioning system device to measure person travel (2007)Search for a global positioni…Evaluating the Potential To Predict Activity Types from GPS and GIS Data (2007)Evaluating the Potential To P…Toward low-burden travel survey: Identifying travel modes from GPS tracks fusing individual histories and enumerated annotations (2024)Toward low-burden travel surv…Intelligent Transportation Activity Recognition Using Deep Belief Network (2024)Intelligent Transportation Ac…A novel one-stage approach for pointwise transportation mode identification inspired by point cloud processing (2023)A novel one-stage approach fo…Transportation Mode Detection by Using Smartphones and Smartwatches with Machine Learning (2022)Transportation Mode Detection…Transition State Matrices Approach for Trajectory Segmentation Based on Transport Mode Change Criteria (2022)Transition State Matrices App…Routing Games in the Wild: Efficiency, Equilibration, Regret, and a Price of Anarchy Bound via Long Division (2022)Routing Games in the Wild: Ef…Machine learning for activity pattern detection (2022)Machine learning for activity…GeoSDVA: A Semi-Supervised Dirichlet Variational Autoencoder Model for Transportation Mode Identification (2022)GeoSDVA: A Semi-Supervised Di…Transport behavior-mining from smartphones: a review (2021)Transport behavior-mining fro…Travel Mode Recognition from GPS Data Based on LSTM (2020)Travel Mode Recognition from …Transportation Mode Recognition With Deep Forest Based on GPS Data (2020)Transportation Mode Recogniti…Bus-Car Mode Identification: Traffic Condition–Based Random-Forests Method (2020)Bus-Car Mode Identification: …Mining User Behaviour from Smartphone data: a literature review (2019)Mining User Behaviour from Sm…Automatic physical activity and in‐vehicle status classification based on GPS and accelerometer data: A hierarchical classification approach using machine learning techniques (2018)Automatic physical activity a…How bad is selfish routing in practice? (2017)How bad is selfish routing in…An Enhanced Transportation Mode Detection Method Based on GPS Data (2017)An Enhanced Transportation Mo…A computerized household activity scheduling survey (2000)Using GPS data loggers to replace travel diaries in the collection of travel data (2000)Where do you want to go today?: More observations on daily mobility (2003)Detecting activity type from GPS traces using spatial and temporal information (2015)A data-driven travel mode share estimation framework based on mobile device location data (2021)A stepwise methodology for transport mode detection in GPS tracking data (2021)Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel Data (2001)Evaluating the feasibility of a passive travel survey collection in a complex urban environment: Lessons learned from the New York City case study (2010)Using Geographic Information Systems (GIS) to assess the role of the built environment in influencing obesity: a glossary (2011)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)The Measurement of Observer Agreement for Categorical Data (1977)Assessing agreement on classification tasks: the kappa statistic (1996)Travel mode detection based on GPS track data and Bayesian networks (2015)Machine learning applications in activity-travel behaviour research: a review (2020)Learning and inferring transportation routines (2007)Applying mobile phone data to travel behaviour research: A literature review (2017)Inferring transportation modes from GPS trajectories using a convolutional neural network (2017)Cellular Census: Explorations in Urban Data Collection (2007)Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system (2010)Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)Measuring Comfort in Public Transport: A case study for İstanbul (2017)Developing a passive GPS tracking system to study long-term travel behavior (2019)Reconstruction of human movement trajectories from large-scale low-frequency mobile phone data (2019)How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets (2010)Transportation mode detection – an in-depth review of applicability and reliability (2016)Wheelmap: the wheelchair accessibility crowdsourcing platform (2017)Understanding the Impacts of Human Mobility on Accessibility Using Massive Mobile Phone Tracking Data (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)Inferring High-Level Behavior from Low-Level Sensors (2003)Understanding transportation modes based on GPS data for web applications (2010)Route choice of cyclists in Zurich (2010)A GPS/GIS method for travel mode detection in New York City (2011)Using Global Positioning Systems in Health Research (2011)
this work references cited by second hop

References

  • 2008Understanding mobility based on GPS data1,131 cited
  • 2008Learning transportation mode from raw gps data for geographic applications on the web616 cited
  • 2009Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands501 cited
  • 2011Transportation mode detection using mobile phones and GIS information451 cited
  • 2009Processing Raw Data from Global Positioning Systems without Additional Information326 cited
  • 2007Search for a global positioning system device to measure person travel246 cited
  • 2012Inferring hybrid transportation modes from sparse GPS data using a moving window SVM classification191 cited
  • 2012Transportation mode-based segmentation and classification of movement trajectories165 cited
  • 2014Urban sensing: Using smartphones for transportation mode classification139 cited
  • 2007Evaluating the Potential To Predict Activity Types from GPS and GIS Data46 cited

Cited by

  • 2018Automatic physical activity and in‐vehicle status classification based on GPS and accelerometer data: A hierarchical classification approach using machine learning techniques30 cited
  • 2020Transportation Mode Recognition With Deep Forest Based on GPS Data29 cited
  • 2024Intelligent Transportation Activity Recognition Using Deep Belief Network28 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

2021
Transport behavior-mining from smartphones: a review
22 cited
  • 2023A novel one-stage approach for pointwise transportation mode identification inspired by point cloud processing22 cited
  • 2022Transportation Mode Detection by Using Smartphones and Smartwatches with Machine Learning18 cited
  • 2017An Enhanced Transportation Mode Detection Method Based on GPS Data13 cited
  • 2022Machine learning for activity pattern detection12 cited
  • 2017How bad is selfish routing in practice?12 cited
  • 2022GeoSDVA: A Semi-Supervised Dirichlet Variational Autoencoder Model for Transportation Mode Identification9 cited
  • 2020Bus-Car Mode Identification: Traffic Condition–Based Random-Forests Method9 cited
  • 2020Travel Mode Recognition from GPS Data Based on LSTM7 cited
  • 2022Transition State Matrices Approach for Trajectory Segmentation Based on Transport Mode Change Criteria6 cited
  • 2022Routing Games in the Wild: Efficiency, Equilibration, Regret, and a Price of Anarchy Bound via Long Division5 cited
  • 2019Mining User Behaviour from Smartphone data: a literature review5 cited
  • 2024Toward low-burden travel survey: Identifying travel modes from GPS tracks fusing individual histories and enumerated annotations4 cited