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Traffic Estimation And Prediction Based On Real Time Floating Car Data
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Traffic Estimation And Prediction Based On Real Time Floating Car Data (2008)Traffic Estimation And Prediction Based O…Using probe data to estimate OD matrices (2005)Using probe data to estimate …Traffic speed prediction for urban transportation network: A path based deep learning approach (2019)Traffic speed prediction for …Learning to Estimate the Travel Time (2018)Learning to Estimate the Trav…DeepTravel: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision (2018)DeepTravel: a Neural Network …Detection of traffic congestion and incidents from GPS trace analysis (2016)Detection of traffic congesti…Understanding Urban Traffic-Flow Characteristics: A Rethinking of Betweenness Centrality (2013)Understanding Urban Traffic-F…Learning the Dynamics of Arterial Traffic From Probe Data Using a Dynamic Bayesian Network (2012)Learning the Dynamics of Arte…Estimating arterial traffic conditions using sparse probe data (2010)Estimating arterial traffic c…A Computer Movie Simulating Urban Growth in the Detroit Region (1970)Power and Centrality: A Family of Measures (1987)Understanding individual human mobility patterns (2008)VTrack (2009)Tracking unmodified smartphones using wi-fi monitors (2012)Urban Computing (2014)Arterial travel time forecast with streaming data: A hybrid approach of flow modeling and machine learning (2012)Model-Based Count Series Clustering for Bike Sharing System Usage Mining: A Case Study with the Vélib’ System of Paris (2014)The most likely trip matrix estimated from traffic counts (1980)Inferences on trip matrices from observations on link volumes: A Bayesian statistical approach (1983)Estimation of trip matrices from traffic counts and survey data: A generalized least squares estimator (1984)Bilevel Generalized Least Squares Estimation of Dynamic Origin–Destination Matrix for Urban Network with Probe Vehicle Data (2013)Effectiveness of link and path information on simultaneous adjustment of dynamic O-D demand matrix (2013)Integrated Determination of Network Origin–Destination Trip Matrix and Heterogeneous Sensor Selection and Location Strategy (2015)Surface street traffic estimation (2007)Driving with knowledge from the physical world (2011)Real-Time Detection of Traffic From Twitter Stream Analysis (2015)Traffic congestion analysis at the turn level using Taxis' GPS trajectory data (2018)Geographical patterns of traffic congestion in growing megacities: Big data analytics from Beijing (2019)Travel-Time Prediction With Support Vector Regression (2004)Travel time estimation for urban road networks using low frequency probe vehicle data (2013)Travel time estimation of a path using sparse trajectories (2014)ConSTGAT (2020)Spatio-Temporal Meta Learning for Urban Traffic Prediction (2020)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Short-term prediction of lane-level traffic speeds: A fusion deep learning model (2019)Artificial intelligence-based traffic flow prediction: a comprehensive review (2023)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends (2019)A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (2020)A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation (2021)
this work references cited by second hop

References

  • 2005Using probe data to estimate OD matrices43 cited

Cited by

  • 2018Learning to Estimate the Travel Time269 cited
  • 2012Learning the Dynamics of Arterial Traffic From Probe Data Using a Dynamic Bayesian Network241 cited
  • 2019Traffic speed prediction for urban transportation network: A path based deep learning approach214 cited
  • 2010Estimating arterial traffic conditions using sparse probe data208 cited
  • 2016Detection of traffic congestion and incidents from GPS trace analysis203 cited
  • 2013Understanding Urban Traffic-Flow Characteristics: A Rethinking of Betweenness Centrality199 cited
  • 2018DeepTravel: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision180 cited

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