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Transport Mode Detection when Fine-grained and Coarse-grained Data Meet
8 references·0 citing·34 second hop
Transport Mode Detection when Fine-grained and Coarse-grained Data Meet (2018)Transport Mode Detection when Fine-graine…Review of transportation mode detection approaches based on smartphone data (2017)Review of transportation mode…Travel Mode Detection with Varying Smartphone Data Collection Frequencies (2016)Travel Mode Detection with Va…Detecting Urban Transport Modes Using a Hybrid Knowledge Driven Framework from GPS Trajectory (2016)Detecting Urban Transport Mod…Identifying Travel Mode with GPS Data Using Support Vector Machines and Genetic Algorithm (2015)Identifying Travel Mode with …Urban sensing: Using smartphones for transportation mode classification (2014)Urban sensing: Using smartpho…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…Learning transportation mode from raw gps data for geographic applications on the web (2008)Learning transportation mode …The generalized nested logit model (2001)Inferring High-Level Behavior from Low-Level Sensors (2003)A driving cycle detection approach using map service API (2018)Individual Travel Transportation Modes Identification Based on Deep Learning Algorithm of Attention Mechanism (2019)Travel Mode Recognition from GPS Data Based on LSTM (2020)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)Understanding mobility based on GPS data (2008)Review of GPS Travel Survey and GPS Data-Processing Methods (2014)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)Using GPS to learn significant locations and predict movement across multiple users (2003)Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands (2009)Understanding transportation modes based on GPS data for web applications (2010)Built Environment Interventions to Increase Active Travel: a Critical Review and Discussion (2019)Detecting Travel Modes Using Rule-Based Classification System and Gaussian Process Classifier (2019)Planning Suitable Transport Networks for E-Scooters to Foster Micromobility Spreading (2021)Fuzzy sets (1965)Fuzzy sets (1996)Smart card data use in public transit: A literature review (2011)A Novel Segment-Based Approach for Improving Classification Performance of Transport Mode Detection (2017)Development of an ANFIS Model for the Optimization of a Queuing System in Warehouses (2018)Transportation Mode Recognition With Deep Forest Based on GPS Data (2020)Transportation Mode Detection from Low-Power Smartphone Sensors Using Tree-Based Ensembles (2019)Data Sources and Models for Integrated Mobility and Transport Solutions (2024)
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References

  • 2008Learning transportation mode from raw gps data for geographic applications on the web616 cited
  • 2011Transportation mode detection using mobile phones and GIS information451 cited
  • 2012Inferring hybrid transportation modes from sparse GPS data using a moving window SVM classification191 cited
  • 2014Urban sensing: Using smartphones for transportation mode classification139 cited
  • 2016Travel Mode Detection with Varying Smartphone Data Collection Frequencies77 cited
  • 2017Review of transportation mode detection approaches based on smartphone data40 cited
  • 2016Detecting Urban Transport Modes Using a Hybrid Knowledge Driven Framework from GPS Trajectory39 cited
  • 2015Identifying Travel Mode with GPS Data Using Support Vector Machines and Genetic Algorithm18 cited

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