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Two-stage procedure for transportation mode detection based on sighting data
16 references·0 citing·37 second hop
Two-stage procedure for transportation mode detection based on sighting data (2022)Two-stage procedure for transportation mo…On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)On data processing required t…Inferring transportation modes from GPS trajectories using a convolutional neural network (2017)Inferring transportation mode…Validating and improving public transport origin–destination estimation algorithm using smart card fare data (2016)Validating and improving publ…The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)The promises of big data and …Travel mode detection based on GPS track data and Bayesian networks (2015)Travel mode detection based o…Traffic zone division based on big data from mobile phone base stations (2015)Traffic zone division based o…Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)Origin–destination trips by p…From traces to trajectories: How well can we guess activity locations from mobile phone traces? (2014)From traces to trajectories: …Development of origin–destination matrices using mobile phone call data (2014)Development of origin–destina…Inferring hybrid transportation modes from sparse GPS data using a moving window SVM classification (2012)Inferring hybrid transportati…Detection of Activities of Public Transport Users by Analyzing Smart Card Data (2012)Detection of Activities of Pu…Estimating Origin-Destination Flows Using Mobile Phone Location Data (2011)Estimating Origin-Destination…Transportation mode inference from anonymized and aggregated mobile phone call detail records (2010)Transportation mode inference…Eigenplaces: Analysing Cities Using the Space–Time Structure of the Mobile Phone Network (2009)Eigenplaces: Analysing Cities…Understanding individual human mobility patterns (2008)Understanding individual huma…Learning and inferring transportation routines (2007)Learning and inferring transp…The origin of bursts and heavy tails in human dynamics (2005)The scaling laws of human travel (2006)Friendship and mobility (2011)A Theoretical Foundation for the Gravity Equation. (1979)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)A new insight into land use classification based on aggregated mobile phone data (2014)Understanding mobility based on GPS data (2008)Estimating human trajectories and hotspots through mobile phone data (2014)Transport mode detection based on mobile phone network data: A systematic review (2019)Nonresponse Rates and Nonresponse Bias in Household Surveys (2006)A universal model for mobility and migration patterns (2012)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Limits of Predictability in Human Mobility (2010)Modelling the scaling properties of human mobility (2010)Unravelling daily human mobility motifs (2013)The path most traveled: Travel demand estimation using big data resources (2015)Revealing travel patterns and city structure with taxi trip dataCellular Census: Explorations in Urban Data Collection (2007)Eigenbehaviors: identifying structure in routine (2009)Does Urban Mobility Have a Daily Routine? Learning from the Aggregate Data of Mobile Networks (2010)Principal Component Analysis on Spatial Data: An Overview (2012)Using GPS to learn significant locations and predict movement across multiple users (2003)Reality mining: sensing complex social systems (2005)PEIR, the personal environmental impact report, as a platform for participatory sensing systems research (2009)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)The theory of planned behavior (1991)Applying mobile phone data to travel behaviour research: A literature review (2017)Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns (2017)Big data and analytics in hospitality and tourism: a systematic literature review (2021)DIRECT AND INVERSE SOLUTIONS OF GEODESICS ON THE ELLIPSOID WITH APPLICATION OF NESTED EQUATIONS (1975)Learning transportation mode from raw gps data for geographic applications on the web (2008)The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets (2018)Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data (2019)Modeling real-time human mobility based on mobile phone and transportation data fusion (2018)Inferring dynamic origin-destination flows by transport mode using mobile phone data (2019)
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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2007Learning and inferring transportation routines798 cited
  • 2015Origin–destination trips by purpose and time of day inferred from mobile phone data637 cited
  • 2016The promises of big data and small data for travel behavior (aka human mobility) analysis580 cited
  • 2011Estimating Origin-Destination Flows Using Mobile Phone Location Data511 cited
  • 2014Development of origin–destination matrices using mobile phone call data508 cited
  • 2017Inferring transportation modes from GPS trajectories using a convolutional neural network404 cited
  • 2009Eigenplaces: Analysing Cities Using the Space–Time Structure of the Mobile Phone Network262 cited
  • 2017On data processing required to derive mobility patterns from passively-generated mobile phone data248 cited
  • 2010Transportation mode inference from anonymized and aggregated mobile phone call detail records207 cited
  • 2012Inferring hybrid transportation modes from sparse GPS data using a moving window SVM classification191 cited
  • 2014From traces to trajectories: How well can we guess activity locations from mobile phone traces?164 cited
  • 2015Travel mode detection based on GPS track data and Bayesian networks154 cited
  • 2012Detection of Activities of Public Transport Users by Analyzing Smart Card Data

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148 cited
  • 2016Validating and improving public transport origin–destination estimation algorithm using smart card fare data137 cited
  • 2015Traffic zone division based on big data from mobile phone base stations136 cited
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