Deep dispatching: A deep reinforcement learning approach for vehicle dispatching on online ride-hailing platform

Deep Reinforcement Learning with Double Q-Learning

Hado van Hasselt, Arthur Guez, David Silver · 2016 · 6K citations · Full text

Computing, Computer Science, Algorithms +11

T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction

Ling Zhao, Yujiao Song, Chao Zhang et al. · IEEE Transactions on Intelligent Transportation Systems · 2019 · 3.2K citations · Full text

Computing, Data Science, Forecasting +16

Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction

Huaxiu Yao, Fei Wu, Jintao Ke et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2018 · 1.1K citations · Full text

Computing, Computer Science, Demand Forecasting +16

Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach

Jintao Ke, Hongyu Zheng, Hai Yang et al. · Transportation Research Part C Emerging Technologies · 2017 · 727 citations · Full text

Computing, Data Science, Transportation Planning +17

Predicting station-level hourly demand in a large-scale bike-sharing network: A graph convolutional neural network approach

Lei Lin, Zhengbing He, Srinivas Peeta · Transportation Research Part C Emerging Technologies · 2018 · 436 citations · Full text

Computing, Computer Science, Transportation Planning +16