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T-share: A large-scale dynamic taxi ridesharing service
2 references·12 citing·47 second hop
T-share: A large-scale dynamic taxi ridesharing service (2013)T-share: A large-scale dynamic taxi rides…Urban computing with taxicabs (2011)Urban computing with taxicabsDriving with knowledge from the physical world (2011)Driving with knowledge from t…A survey on demand-responsive public bus systems (2022)A survey on demand-responsive…A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation (2021)A Survey of Traffic Predictio…Real-time city-scale ridesharing via linear assignment problems (2019)Real-time city-scale rideshar…Empty-Car Routing in Ridesharing Systems (2019)Empty-Car Routing in Rideshar…Real-Time Prediction of Taxi Demand Using Recurrent Neural Networks (2017)Real-Time Prediction of Taxi …Taxi and Ride Sharing: A Dynamic Dial-a-Ride Problem with Money as an Incentive (2015)Taxi and Ride Sharing: A Dyna…Urban Computing (2014)Urban ComputingTravel time estimation of a path using sparse trajectories (2014)Travel time estimation of a p…Real-Time City-Scale Taxi Ridesharing (2014)Real-Time City-Scale Taxi Rid…Model-Based Count Series Clustering for Bike Sharing System Usage Mining: A Case Study with the Vélib’ System of Paris (2014)Model-Based Count Series Clus…Large scale real-time ridesharing with service guarantee on road networks (2014)Large scale real-time ridesha…From taxi GPS traces to social and community dynamics (2013)From taxi GPS traces to socia…Where to find my next passenger (2011)Smart Cities: A Survey on Data Management, Security, and Enabling Technologies (2017)Dynamic ride sharing using traditional taxis and shared autonomous taxis: A case study of NYC (2018)A survey of models and algorithms for optimizing shared mobility (2019)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)Reality mining: sensing complex social systems (2005)Bridging the gap between physical location and online social networks (2010)Discovering regions of different functions in a city using human mobility and POIs (2012)Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta 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)Travel-Time Prediction With Support Vector Regression (2004)Understanding transportation modes based on GPS data for web applications (2010)Inferring the Root Cause in Road Traffic Anomalies (2012)Ridesourcing systems: A framework and review (2019)Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (2008)Evaluation of traffic data obtained via GPS-enabled mobile phones: The Mobile Century field experiment (2009)Uncovering cabdrivers’ behavior patterns from their digital traces (2010)A hybrid deep learning based traffic flow prediction method and its understanding (2018)Predicting Taxi–Passenger Demand Using Streaming Data (2013)Quantifying the benefits of vehicle pooling with shareability networks (2014)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Combining time-series and textual data for taxi demand prediction in event areas: A deep learning approach (2018)Deep learning methods in transportation domain: a review (2018)Contextualized Spatial–Temporal Network for Taxi Origin-Destination Demand Prediction (2019)Open, Closed, and Mixed Networks of Queues with Different Classes of Customers (1975)Mean-Value Analysis of Closed Multichain Queuing Networks (1980)Applied Probability and Queues (2003)Ride-Hailing Networks with Strategic Drivers: The Impact of Platform Control Capabilities on Performance (2018)Operations Management in the Age of the Sharing Economy: What Is Old and What Is New? (2019)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (2019)A Deep Gravity model for mobility flows generation (2021)A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting (2021)Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities (2022)The Hungarian method for the assignment problem (1955)The Traffic Assignment Problem: Models and Methods (1994)On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment (2017)Detailing DRT users in Europe over the last twenty years: a literature overview (2023)Trends in passenger transport optimisation (2023)Dynamic scheduling of flexible bus services with hybrid requests and fairness: Heuristics-guided multi-agent reinforcement learning with imitation learning (2024)
this work references cited by second hop

References

  • 2011Driving with knowledge from the physical world886 cited
  • 2011Urban computing with taxicabs533 cited

Cited by

  • 2014Urban Computing1,564 cited
  • 2014Travel time estimation of a path using sparse trajectories538 cited
  • 2021A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation410 cited
  • 2014Real-Time City-Scale Taxi Ridesharing335 cited
  • 2017Real-Time Prediction of Taxi Demand Using Recurrent Neural Networks311 cited
  • 2013From taxi GPS traces to social and community dynamics261 cited
  • 2019Empty-Car Routing in Ridesharing Systems241 cited
  • 2022A survey on demand-responsive public bus systems217 cited
  • 2014Large scale real-time ridesharing with service guarantee on road networks213 cited
  • 2019Real-time city-scale ridesharing via linear assignment problems210 cited
  • 2015Taxi and Ride Sharing: A Dynamic Dial-a-Ride Problem with Money as an Incentive204 cited
  • 2014Model-Based Count Series Clustering for Bike Sharing System Usage Mining: A Case Study with the Vélib’ System of Paris192 cited

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