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Artificial Neural Networks Applied to Taxi Destination Prediction
0 references·6 citing·28 second hopsampled
Artificial Neural Networks Applied to Taxi Destination Prediction (2015)Artificial Neural Networks Applied to Tax…A Survey on Deep Learning for Human Mobility (2021)A Survey on Deep Learning for…Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends (2019)Deep Learning for Intelligent…Geospatial data to images: A deep-learning framework for traffic forecasting (2018)Geospatial data to images: A …DeepTravel: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision (2018)DeepTravel: a Neural Network …Real-Time Prediction of Taxi Demand Using Recurrent Neural Networks (2017)Real-Time Prediction of Taxi …A Taxi Order Dispatch Model based On Combinatorial Optimization (2017)A Taxi Order Dispatch Model b…Hunting or waiting? Discovering passenger-finding strategies from a large-scale real-world taxi dataset (2011)Where to find my next passenger (2011)Predicting Taxi–Passenger Demand Using Streaming Data (2013)Hexagon-Based Convolutional Neural Network for Supply-Demand Forecasting of Ride-Sourcing Services (2018)A Deep Value-network Based Approach for Multi-Driver Order Dispatching (2019)Pricing and equilibrium in on-demand ride-pooling markets (2020)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)Time Series Analysis: Forecasting and Control (1977)Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Applications of deep learning in stock market prediction: Recent progress (2021)Graph neural network for traffic forecasting: A survey (2022)Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review (2023)Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)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)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Applications of Artificial Intelligence and Machine learning in smart cities (2020)Developing future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges (2021)Graph Neural Networks for Intelligent Transportation Systems: A Survey (2023)Time Series Analysis: Forecasting and Control. (1978)Time series forecasting using a hybrid ARIMA and neural network model (2003)Understanding individual human mobility patterns (2008)A Deep Gravity model for mobility flows generation (2021)Algorithmic urban planning for smart and sustainable development: Systematic review of the literature (2023)
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  • 2019Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends416 cited
  • 2021A Survey on Deep Learning for Human Mobility360 cited
  • 2017Real-Time Prediction of Taxi Demand Using Recurrent Neural Networks311 cited
  • 2017A Taxi Order Dispatch Model based On Combinatorial Optimization244 cited
  • 2018Geospatial data to images: A deep-learning framework for traffic forecasting180 cited
  • 2018DeepTravel: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision180 cited

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