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A Taxi Order Dispatch Model based On Combinatorial Optimization
7 references·3 citing·39 second hop
A Taxi Order Dispatch Model based On Combinatorial Optimization (2017)A Taxi Order Dispatch Model based On Comb…Artificial Neural Networks Applied to Taxi Destination Prediction (2015)Artificial Neural Networks Ap…Predicting Taxi–Passenger Demand Using Streaming Data (2013)Predicting Taxi–Passenger Dem…Where to find my next passenger (2011)Where to find my next passeng…Hunting or waiting? Discovering passenger-finding strategies from a large-scale real-world taxi dataset (2011)Hunting or waiting? Discoveri…Hierarchical route planning based on taxi GPS-trajectories (2009)Hierarchical route planning b…Learning to Predict Driver Route and Destination Intent (2006)Learning to Predict Driver Ro…Taxi Dispatch System Based on Current Demands and Real-Time Traffic Conditions (2004)Taxi Dispatch System Based on…Pricing and equilibrium in on-demand ride-pooling markets (2020)Pricing and equilibrium in on…A Deep Value-network Based Approach for Multi-Driver Order Dispatching (2019)A Deep Value-network Based Ap…Hexagon-Based Convolutional Neural Network for Supply-Demand Forecasting of Ride-Sourcing Services (2018)Hexagon-Based Convolutional N…Time series forecasting using a hybrid ARIMA and neural network model (2003)Automatic Time Series Forecasting: The forecast Package for R (2008)Understanding individual human mobility patterns (2008)Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach (2017)Ridesourcing systems: A framework and review (2019)Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions (2022)A history of Singapore architecture: The making of a city (1985)Urban Computing (2014)Urban Transport Planning (2018)Urban Transport Planning in Singapore (2019)Using GPS to learn significant locations and predict movement across multiple users (2003)Nericell (2008)Urban Traffic Modelling and Prediction Using Large Scale Taxi GPS Traces (2012)A literature survey on smart cities (2015)Inferring Driver Intent: A Case Study in Lane-Change Detection (2004)Trip router with individualized preferences (TRIP): incorporating personalization into route planning (2006)Navigate like a cabbie (2008)Route Prediction from Trip Observations (2008)Predicting and explaining employee turnover intention (2022)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction (2020)The Concept of Monopoly and the Measurement of Monopoly Power (1934)Optimization for dynamic ride-sharing: A review (2012)On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment (2017)Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network (2020)Control of robotic mobility-on-demand systems: A queueing-theoretical perspective (2015)Large-Scale Order Dispatch in On-Demand Ride-Hailing Platforms (2018)Dynamic pricing and matching in ride‐hailing platforms (2019)Optimizing matching time interval and matching radius in on-demand ride-sourcing markets (2019)Exploring nonlinear effects of the built environment on ridesplitting: Evidence from Chengdu (2021)Real-Time Prediction of Taxi Demand Using Recurrent Neural Networks (2017)Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends (2019)A Survey on Deep Learning for Human Mobility (2021)17 From Taxi GPS Traces to Social and Community Dynamics: A Survey (2013)From taxi GPS traces to social and community dynamics (2013)Understanding Taxi Service Strategies From Taxi GPS Traces (2014)Real-Time City-Scale Taxi Ridesharing (2014)
this work references cited by second hop

References

  • 2013Predicting Taxi–Passenger Demand Using Streaming Data739 cited
  • 2011Where to find my next passenger354 cited
  • 2011Hunting or waiting? Discovering passenger-finding strategies from a large-scale real-world taxi dataset255 cited
  • 2006Learning to Predict Driver Route and Destination Intent197 cited
  • 2004Taxi Dispatch System Based on Current Demands and Real-Time Traffic Conditions188 cited
  • 2015Artificial Neural Networks Applied to Taxi Destination Prediction176 cited
  • 2009Hierarchical route planning based on taxi GPS-trajectories45 cited

Cited by

  • 2020Pricing and equilibrium in on-demand ride-pooling markets236 cited
  • 2019A Deep Value-network Based Approach for Multi-Driver Order Dispatching203 cited
  • 2018Hexagon-Based Convolutional Neural Network for Supply-Demand Forecasting of Ride-Sourcing Services172 cited

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