718 citations · 727 across the 4 of their papers we have counts for
4 papers
A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications
Can Li, Lei Bai, Lina Yao +2
Transportation is the backbone of the economy and urban development. Improving the efficiency, sustainability, resilience, and intelligence of transportation systems is critical an…
Unsupervised Knowledge Adaptation for Passenger Demand Forecasting
Can Li, Lei Bai, Wei Liu +2
Considering the multimodal nature of transport systems and potential cross-modal correlations, there is a growing trend of enhancing demand forecasting accuracy by learning from mu…
Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network
Can Li, Lei Bai, Wei Liu +2
Accurate demand forecasting of different public transport modes(e.g., buses and light rails) is essential for public service operation.However, the development level of various mod…
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
Lei Bai, Lina Yao, Can Li +2
Modeling complex spatial and temporal correlations in the correlated time series data is indispensable for understanding the traffic dynamics and predicting the future status of an…