Fostering Innovation in Urban Transportation Risk Management: A Multi-Sector Collaborative Benchmarking Platform

Author:

Dao Minh-Son1,Ung Huy Quang1,Ito Sadanori1,Wada Shinya2,Zettsu Koji1

Affiliation:

1. National Institute of Information And Communications Technology,Tokyo,Japan

2. KDDI Research, Inc.,Saitama,Japan

Publisher

IEEE

Reference16 articles.

1. Utilizing Real-World Transportation Data for Accurate Traffic Prediction

2. Adaptive graph convolutional recurrent network for traffic forecasting;Bai;Advances in neural information processing systems,2020

3. Coupled Layer-wise Graph Convolution for Transportation Demand Prediction

4. Discrete graph structure learning for forecasting multiple time series;Shang

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. xMTrans: Temporal Attentive Cross-Modality Fusion Transformer for Long-Term Traffic Prediction;2024 25th IEEE International Conference on Mobile Data Management (MDM);2024-06-24

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