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UrbanMobilitySense: A User-Centric Participatory Sensing System for Transportation Activity Surveys
6 references·2 citing·28 second hop
UrbanMobilitySense: A User-Centric Participatory Sensing System for Transportation Activity Surveys (2014)UrbanMobilitySense: A User-Centric Partic…Transportation activity analysis using smartphones (2012)Transportation activity analy…Employing user feedback for semantic location services (2011)Employing user feedback for s…EasyTracker (2011)EasyTrackerUnderstanding transportation modes based on GPS data for web applications (2010)Understanding transportation …Learning and inferring transportation routines (2007)Learning and inferring transp…Discovering personally meaningful places (2007)Discovering personally meanin…Automatic Dangerous Driving Intensity Analysis for Advanced Driver Assistance Systems From Multimodal Driving Signals (2017)Automatic Dangerous Driving I…We hear your activities through Wi-Fi signals (2016)We hear your activities throu…Dynamic Bus Arrival Time Prediction with Artificial Neural Networks (2002)Crowd Density Estimation for Public Transport Vehicles (2014)An Adaptive Long-Term Bus Arrival Time Prediction Model with Cyclic Variations (2015)A predictive-control framework to address bus bunching (2017)Using GPS to learn significant locations and predict movement across multiple users (2003)Understanding mobility based on GPS data (2008)Transportation mode inference from anonymized and aggregated mobile phone call detail records (2010)What We Know and Don't Know about Online Word-of-Mouth: A Review and Synthesis of the Literature (2014)Analysis of human mobility patterns from GPS trajectories and contextual information (2015)Inferring High-Level Behavior from Low-Level Sensors (2003)Data from mobile phone operators: A tool for smarter cities? (2014)Understanding aggregate human mobility patterns using passive mobile phone location data: a home-based approach (2015)Big Data Driven Hidden Markov Model Based Individual Mobility Prediction at Points of Interest (2016)Extracting places from traces of locations (2004)On the Semantic Annotation of Daily Places (2014)Placer++: Semantic place labels beyond the visit (2015)On the semantic annotation of Wi-Fi SSID logs in mobile applications (2017)The scaling laws of human travel (2006)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)The Cumulative Cost of Additional Wakefulness: Dose-Response Effects on Neurobehavioral Functions and Sleep Physiology From Chronic Sleep Restriction and Total Sleep Deprivation (2003)Detecting Stress During Real-World Driving Tasks Using Physiological Sensors (2005)Real-Time System for Monitoring Driver Vigilance (2006)Field Evaluation of the Smartphone-based Travel Behaviour Data Collection App “SmartMo” (2015)Smartphones as an integrated platform for monitoring driver behaviour: The role of sensor fusion and connectivity (2018)Getting the best of both worlds: a framework for combining disaggregate travel survey data and aggregate mobile phone data for trip generation modelling (2020)Reality mining: sensing complex social systems (2005)PEIR, the personal environmental impact report, as a platform for participatory sensing systems research (2009)
this work references cited by second hop

References

  • 2007Learning and inferring transportation routines798 cited
  • 2010Understanding transportation modes based on GPS data for web applications485 cited
  • 2007Discovering personally meaningful places207 cited
  • 2011EasyTracker182 cited
  • 2012Transportation activity analysis using smartphones61 cited
  • 2011Employing user feedback for semantic location services30 cited

Cited by

  • 2017Automatic Dangerous Driving Intensity Analysis for Advanced Driver Assistance Systems From Multimodal Driving Signals60 cited
  • 2016We hear your activities through Wi-Fi signals16 cited

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