SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Large-Scale Order Dispatch in On-Demand Ride-Hailing Platforms
7 references·6 citing·42 second hop
Large-Scale Order Dispatch in On-Demand Ride-Hailing Platforms (2018)Large-Scale Order Dispatch in On-Demand R…Planning Bike Lanes based on Sharing-Bikes' Trajectories (2017)Planning Bike Lanes based on …Functional Zone Based Hierarchical Demand Prediction For Bike System Expansion (2017)Functional Zone Based Hierarc…Taxi Dispatch With Real-Time Sensing Data in Metropolitan Areas: A Receding Horizon Control Approach (2016)Taxi Dispatch With Real-Time …Control of robotic mobility-on-demand systems: A queueing-theoretical perspective (2015)Control of robotic mobility-o…Understanding Taxi Service Strategies From Taxi GPS Traces (2014)Understanding Taxi Service St…Predicting Taxi–Passenger Demand Using Streaming Data (2013)Predicting Taxi–Passenger Dem…Taxi Dispatch System Based on Current Demands and Real-Time Traffic Conditions (2004)Taxi Dispatch System Based on…A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation (2021)A Survey of Traffic Predictio…Pricing and equilibrium in on-demand ride-pooling markets (2020)Pricing and equilibrium in on…Optimizing matching time interval and matching radius in on-demand ride-sourcing markets (2019)Optimizing matching time inte…Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning (2019)Efficient Ridesharing Order D…DeepPool: Distributed Model-Free Algorithm for Ride-Sharing Using Deep Reinforcement Learning (2019)DeepPool: Distributed Model-F…A Deep Value-network Based Approach for Multi-Driver Order Dispatching (2019)A Deep Value-network Based Ap…Computational Social Science (2009)Driving with knowledge from the physical world (2011)Discovering regions of different functions in a city using human mobility and POIs (2012)crowddeliver: Planning City-Wide Package Delivery Paths Leveraging the Crowd of Taxis (2016)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)Demand–supply equilibrium of taxi services in a network under competition and regulation (2002)Evaluation of traffic data obtained via GPS-enabled mobile phones: The Mobile Century field experiment (2009)Hunting or waiting? Discovering passenger-finding strategies from a large-scale real-world taxi dataset (2011)Real-Time Prediction of Taxi Demand Using Recurrent Neural Networks (2017)Bike-sharing: History, Impacts, Models of Provision, and Future (2009)Urban Computing (2014)Environmental benefits of bike sharing: A big data-based analysis (2018)Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends (2019)Ridesharing: The state-of-the-art and future directions (2013)Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning (2018)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)A Taxi Order Dispatch Model based On Combinatorial Optimization (2017)Dynamic pricing and matching in ride‐hailing platforms (2019)Exploring nonlinear effects of the built environment on ridesplitting: Evidence from Chengdu (2021)2013 IEEE International Conference on Big Data (2013)Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (2018)Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (2019)Learning to Delay in Ride-Sourcing Systems: A Multi-Agent Deep Reinforcement Learning Framework (2020)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)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)Mean-Value Analysis of Closed Multichain Queuing Networks (1980)Urban operations research (1982)Toward a Systematic Approach to the Design and Evaluation of Automated Mobility-on-Demand Systems: A Case Study in Singapore (2014)Empty-Car Routing in Ridesharing Systems (2019)The role of shared autonomous vehicle systems in delivering smart urban mobility: A systematic review of the literature (2020)
this work references cited by second hop

References

  • 2013Predicting Taxi–Passenger Demand Using Streaming Data739 cited
  • 2015Control of robotic mobility-on-demand systems: A queueing-theoretical perspective391 cited
  • 2017Planning Bike Lanes based on Sharing-Bikes' Trajectories203 cited
  • 2016Taxi Dispatch With Real-Time Sensing Data in Metropolitan Areas: A Receding Horizon Control Approach195 cited
  • 2014Understanding Taxi Service Strategies From Taxi GPS Traces193 cited
  • 2004Taxi Dispatch System Based on Current Demands and Real-Time Traffic Conditions188 cited
  • 2017Functional Zone Based Hierarchical Demand Prediction For Bike System Expansion77 cited

Cited by

  • 2021A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation410 cited
  • 2019Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning261 cited
  • 2020Pricing and equilibrium in on-demand ride-pooling markets236 cited
  • 2019A Deep Value-network Based Approach for Multi-Driver Order Dispatching203 cited
  • 2019Optimizing matching time interval and matching radius in on-demand ride-sourcing markets195 cited
  • 2019DeepPool: Distributed Model-Free Algorithm for Ride-Sharing Using Deep Reinforcement Learning174 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work