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A hybrid method for intercity transport mode identification based on mobility features and sequential relations mined from cellular signaling data
16 references·0 citing·41 second hop
A hybrid method for intercity transport mode identification based on mobility features and sequential relations mined from cellular signaling data (2024)A hybrid method for intercity transport m…Unveiling large-scale commuting patterns based on mobile phone cellular network data (2020)Unveiling large-scale commuti…Inferring temporal motifs for travel pattern analysis using large scale smart card data (2020)Inferring temporal motifs for…iABACUS: A Wi-Fi-Based Automatic Bus Passenger Counting System (2020)iABACUS: A Wi-Fi-Based Automa…Transport mode detection based on mobile phone network data: A systematic review (2019)Transport mode detection base…Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data (2019)Semi-Supervised Deep Learning…Inferring fine-grained transport modes from mobile phone cellular signaling data (2019)Inferring fine-grained transp…Inferring dynamic origin-destination flows by transport mode using mobile phone data (2019)Inferring dynamic origin-dest…Travel Mode Detection Using GPS Data and Socioeconomic Attributes Based on a Random Forest Classifier (2017)Travel Mode Detection Using G…On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)On data processing required t…Applying mobile phone data to travel behaviour research: A literature review (2017)Applying mobile phone data to…Comprehensive Review of Travel Behavior and Mobility Pattern Studies That Used Mobile Phone Data (2016)Comprehensive Review of Trave…Urban Sensing Using Mobile Phone Network Data: A Survey of Research (2014)Urban Sensing Using Mobile Ph…Exploring the mobility of mobile phone users (2012)Exploring the mobility of mob…Estimating Origin-Destination Flows Using Mobile Phone Location Data (2011)Estimating Origin-Destination…Understanding individual human mobility patterns (2008)Understanding individual huma…Learning transportation mode from raw gps data for geographic applications on the web (2008)Learning transportation mode …The origin of bursts and heavy tails in human dynamics (2005)The scaling laws of human travel (2006)Friendship and mobility (2011)A universal model for mobility and migration patterns (2012)A Theoretical Foundation for the Gravity Equation. 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(2009)Analytics of location-based big data for smart cities: Opportunities, challenges, and future directions (2021)Transit OD matrix estimation using smartcard data: Recent developments and future research challenges (2021)Smart card data use in public transit: A literature review (2011)A survey of results on mobile phone datasets analysis (2015)Emerging Big Data Sources for Public Transport Planning: A Systematic Review on Current State of Art and Future Research Directions (2019)Inferring the trip purposes and uncovering spatio-temporal activity patterns from dockless shared bike dataset in Shenzhen, China (2021)Interactive COVID-19 Mobility Impact and Social Distancing Analysis Platform (2021)
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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2008Learning transportation mode from raw gps data for geographic applications on the web616 cited
  • 2011Estimating Origin-Destination Flows Using Mobile Phone Location Data511 cited
  • 2017Applying mobile phone data to travel behaviour research: A literature review368 cited
  • 2014Urban Sensing Using Mobile Phone Network Data: A Survey of Research334 cited
  • 2017On data processing required to derive mobility patterns from passively-generated mobile phone data248 cited
  • 2012Exploring the mobility of mobile phone users239 cited
  • 2019Transport mode detection based on mobile phone network data: A systematic review205 cited
  • 2019Inferring dynamic origin-destination flows by transport mode using mobile phone data183 cited
  • 2019Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data156 cited
  • 2017Travel Mode Detection Using GPS Data and Socioeconomic Attributes Based on a Random Forest Classifier114 cited
  • 2019Inferring fine-grained transport modes from mobile phone cellular signaling data88 cited
  • 2020iABACUS: A Wi-Fi-Based Automatic Bus Passenger Counting System72 cited
  • 2020Inferring temporal motifs for travel pattern analysis using large scale smart card data

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69 cited
  • 2016Comprehensive Review of Travel Behavior and Mobility Pattern Studies That Used Mobile Phone Data54 cited
  • 2020Unveiling large-scale commuting patterns based on mobile phone cellular network data53 cited
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