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Estimating arterial traffic conditions using sparse probe data
2 references·10 citing·37 second hop
Estimating arterial traffic conditions using sparse probe data (2010)Estimating arterial traffic conditions us…VTrack (2009)VTrackTraffic Estimation And Prediction Based On Real Time Floating Car Data (2008)Traffic Estimation And Predic…Urban Computing (2014)Urban ComputingUnderstanding Taxi Service Strategies From Taxi GPS Traces (2014)Understanding Taxi Service St…Urban link travel time estimation using large-scale taxi data with partial information (2013)Urban link travel time estima…From taxi GPS traces to social and community dynamics (2013)From taxi GPS traces to socia…Urban Traffic Modelling and Prediction Using Large Scale Taxi GPS Traces (2012)Urban Traffic Modelling and P…Tracking unmodified smartphones using wi-fi monitors (2012)Tracking unmodified smartphon…Learning the Dynamics of Arterial Traffic From Probe Data Using a Dynamic Bayesian Network (2012)Learning the Dynamics of Arte…Arterial travel time forecast with streaming data: A hybrid approach of flow modeling and machine learning (2012)Arterial travel time forecast…A Compressive Sensing Approach to Urban Traffic Estimation with Probe Vehicles (2012)A Compressive Sensing Approac…Driving with knowledge from the physical world (2011)Driving with knowledge from t…Hunting or waiting? Discovering passenger-finding strategies from a large-scale real-world taxi dataset (2011)Urban computing with taxicabs (2011)crowddeliver: Planning City-Wide Package Delivery Paths Leveraging the Crowd of Taxis (2016)Detection of traffic congestion and incidents from GPS trace analysis (2016)Investigating the Role of Virtual Reality in Planning for Sustainable Smart Cities (2017)Computational Social Science (2009)Discovering regions of different functions in a city using human mobility and POIs (2012)Large-Scale Order Dispatch in On-Demand Ride-Hailing Platforms (2018)Devices that tell on you: privacy trends in consumer ubiquitous computing (2007)Nericell (2008)Analysis methods for extracting knowledge from large-scale WiFi monitoring to inform building facility planning (2014)How talkative is your mobile device? (2015)A Study of MAC Address Randomization in Mobile Devices and When it Fails (2017)OpenStreetMap: User-Generated Street Maps (2008)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Demystifying Big Data Analytics for Business Intelligence Through the Lens of Marketing Mix (2015)Smart City and information technology: A review (2019)PEIR, the personal environmental impact report, as a platform for participatory sensing systems research (2009)ParkNet (2010)Short-term travel time prediction (2003)Travel-Time Prediction With Support Vector Regression (2004)Evaluation of traffic data obtained via GPS-enabled mobile phones: The Mobile Century field experiment (2009)Development of origin–destination matrices using mobile phone call data (2014)The path most traveled: Travel demand estimation using big data resources (2015)DeepPool: Distributed Model-Free Algorithm for Ride-Sharing Using Deep Reinforcement Learning (2019)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)Using probe data to estimate OD matrices (2005)Learning to Estimate the Travel Time (2018)Traffic speed prediction for urban transportation network: A path based deep learning approach (2019)Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (2008)Uncovering cabdrivers’ behavior patterns from their digital traces (2010)A hybrid deep learning based traffic flow prediction method and its understanding (2018)Model-Based Count Series Clustering for Bike Sharing System Usage Mining: A Case Study with the Vélib’ System of Paris (2014)
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References

  • 2009VTrack800 cited
  • 2008Traffic Estimation And Prediction Based On Real Time Floating Car Data324 cited

Cited by

  • 2014Urban Computing1,564 cited
  • 2011Driving with knowledge from the physical world886 cited
  • 2012Tracking unmodified smartphones using wi-fi monitors266 cited
  • 2013From taxi GPS traces to social and community dynamics261 cited
  • 2012Learning the Dynamics of Arterial Traffic From Probe Data Using a Dynamic Bayesian Network241 cited
  • 2012Urban Traffic Modelling and Prediction Using Large Scale Taxi GPS Traces221 cited
  • 2013Urban link travel time estimation using large-scale taxi data with partial information196 cited
  • 2014Understanding Taxi Service Strategies From Taxi GPS Traces193 cited
  • 2012A Compressive Sensing Approach to Urban Traffic Estimation with Probe Vehicles191 cited
  • 2012Arterial travel time forecast with streaming data: A hybrid approach of flow modeling and machine learning184 cited

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