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Bus-Car Mode Identification: Traffic Condition–Based Random-Forests Method
16 references·1 citing·42 second hop
Bus-Car Mode Identification: Traffic Condition–Based Random-Forests Method (2020)Bus-Car Mode Identification: Traffic Cond…Trip destination prediction based on multi-day GPS data (2018)Trip destination prediction b…Developing and Validating a Statistical Model for Travel Mode Identification on Smartphones (2016)Developing and Validating a S…Comparison of advanced imputation algorithms for detection of transportation mode and activity episode using GPS data (2016)Comparison of advanced imputa…Travel mode detection based on GPS track data and Bayesian networks (2015)Travel mode detection based o…The influence of weather characteristics variability on individual’s travel mode choice in different seasons and regions in Sweden (2015)The influence of weather char…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…Use of acceleration data for transportation mode prediction (2014)Use of acceleration data for …Examining the impact of weather variability on non-commuters’ daily activity–travel patterns in different regions of Sweden (2014)Examining the impact of weath…Transportation mode recognition using GPS and accelerometer data (2013)Transportation mode recogniti…Impact of Everyday Weather on Individual Daily Travel Behaviours in Perspective: A Literature Review (2012)Impact of Everyday Weather on…A GPS/GIS method for travel mode detection in New York City (2011)A GPS/GIS method for travel m…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…Changes in Travel Behavior in Response to Weather Conditions (2010)Changes in Travel Behavior in…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 …Enhanced System for Link and Mode Identification for Personal Travel Surveys Based on Global Positioning Systems (2006)Enhanced System for Link and …Toward low-burden travel survey: Identifying travel modes from GPS tracks fusing individual histories and enumerated annotations (2024)Toward low-burden travel surv…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 Economics of Climate Change (2007)The Economics of Climate Change: The Stern Review (2007)Commuting by Bicycle: An Overview of the Literature (2009)A comparative study of machine learning classifiers for modeling travel mode choice (2017)Cycling or walking? Determinants of mode choice in the Netherlands (2018)To be or not to be dockless: Empirical analysis of dockless bikeshare development in China (2018)Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Discrete choice analysis: Theory and application to travel demand (1988)Determinants of bicycle use: do municipal policies matter? (2004)The Gothenburg congestion charge. Effects, design and politics (2015)To travel or not to travel: ‘Weather’ is the question. Modelling the effect of local weather conditions on bus ridership (2017)The overreliance on statistical goodness-of-fit and under-reliance on model validation in discrete choice models: A review of validation practices in the transportation academic literature (2020)Household travel surveys: Where are we going? (2006)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)The effect of weather and climate on bicycle commuting (1999)Assessing the Impact of Weather on Traffic Intensity (2009)Influence of weather conditions on transit ridership: A statistical study using data from Smartcards (2013)Impact of weather on urban transit ridership (2014)Impacts of weather on public transport ridership: Results from mining data from different sources (2016)Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel Data (2001)Learning transportation mode from raw gps data for geographic applications on the web (2008)Route choice of cyclists in Zurich (2010)Using Global Positioning Systems in Health Research (2011)Understanding mobility based on GPS data (2008)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)Conditional logit analysis of qualitative choice behavior (1972)A Survey of Digital Map Processing Techniques (2014)Travel Mode Detection Based on GPS Raw Data Collected by Smartphones: A Systematic Review of the Existing Methodologies (2016)Smartphones as an integrated platform for monitoring driver behaviour: The role of sensor fusion and connectivity (2018)Transportation mode identification with GPS trajectory data and GIS information (2021)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)An automated GPS-based prompted recall survey with learning algorithms (2009)Deriving Personal Trip Data from GPS Data: A Literature Review on the Existing Methodologies (2014)
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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
  • 2012Impact of Everyday Weather on Individual Daily Travel Behaviours in Perspective: A Literature Review416 cited
  • 2009Processing Raw Data from Global Positioning Systems without Additional Information326 cited
  • 2011A GPS/GIS method for travel mode detection in New York City293 cited
  • 2013Transportation mode recognition using GPS and accelerometer data235 cited
  • 2010Changes in Travel Behavior in Response to Weather Conditions213 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
  • 2006Enhanced System for Link and Mode Identification for Personal Travel Surveys Based on Global Positioning Systems165 cited
  • 2015Travel mode detection based on GPS track data and Bayesian networks154 cited
  • 2015The influence of weather characteristics variability on individual’s travel mode choice in different seasons and regions in Sweden153 cited
  • 2014Use of acceleration data for transportation mode prediction101 cited
  • 2016Comparison of advanced imputation algorithms for detection of transportation mode and activity episode using GPS data83 cited
  • 2018Trip destination prediction based on multi-day GPS data77 cited

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  • 2015Improved methods to deduct trip legs and mode from travel surveys using wearable GPS devices: A case study from the Greater Copenhagen area75 cited
  • 2014Examining the impact of weather variability on non-commuters’ daily activity–travel patterns in different regions of Sweden52 cited
  • 2016Developing and Validating a Statistical Model for Travel Mode Identification on Smartphones42 cited
  • Cited by

    • 2024Toward low-burden travel survey: Identifying travel modes from GPS tracks fusing individual histories and enumerated annotations4 cited