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Crowd sensing of traffic anomalies based on human mobility and social media
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Crowd sensing of traffic anomalies based on human mobility and social media (2013)Crowd sensing of traffic anomalies based …Inferring the Root Cause in Road Traffic Anomalies (2012)Inferring the Root Cause in R…Urban computing with taxicabs (2011)Urban computing with taxicabsUrban big data fusion based on deep learning: An overview (2019)Urban big data fusion based o…crowddeliver: Planning City-Wide Package Delivery Paths Leveraging the Crowd of Taxis (2016)crowddeliver: Planning City-W…Traffic prediction in a bike-sharing system (2015)Traffic prediction in a bike-…Big Data for Social Transportation (2015)Big Data for Social Transport…Urban Computing (2014)Urban ComputingStudies in the Economics of Transportation. (1956)Studies in the Economics of Transportation. (1957)Discovering regions of different functions in a city using human mobility and POIs (2012)From taxi GPS traces to social and community dynamics (2013)Travel time estimation of a path using sparse trajectories (2014)Reality mining: sensing complex social systems (2005)Bridging the gap between physical location and online social networks (2010)Driving with knowledge from the physical world (2011)Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning (2019)OpenStreetMap: User-Generated Street Maps (2008)Understanding individual human mobility patterns (2008)Bikesharing in Europe, the Americas, and Asia (2010)On the social shaping dimensions of smart sustainable cities: A study in science, technology, and society (2016)A foundational framework for smart sustainable city development: Theoretical, disciplinary, and discursive dimensions and their synergies (2017)Smart sustainable cities of the future: An extensive interdisciplinary literature review (2017)Limits of Predictability in Human Mobility (2010)Forecasting the Subway Passenger Flow Under Event Occurrences With Social Media (2016)Short-term traffic flow prediction with LSTM recurrent neural network (2017)An AutoEncoder and LSTM-Based Traffic Flow Prediction Method (2019)Bike-sharing: History, Impacts, Models of Provision, and Future (2009)DNN-based prediction model for spatio-temporal data (2016)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)A typology of online shoppers based on shopping motivations (2003)Route Planning in Transportation Networks (2016)TripImputor: Real-Time Imputing Taxi Trip Purpose Leveraging Multi-Sourced Urban Data (2018)Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (2018)Measuring residents’ perceptions of city streets to inform better street planning through deep learning and space syntax (2022)
this work references cited by second hop

References

  • 2011Urban computing with taxicabs533 cited
  • 2012Inferring the Root Cause in Road Traffic Anomalies188 cited

Cited by

  • 2014Urban Computing1,564 cited
  • 2015Traffic prediction in a bike-sharing system366 cited
  • 2019Urban big data fusion based on deep learning: An overview277 cited
  • 2015Big Data for Social Transportation245 cited
  • 2016crowddeliver: Planning City-Wide Package Delivery Paths Leveraging the Crowd of Taxis212 cited

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