Multi-modal generative adversarial networks for traffic event detection in smart cities

作者：

Highlights：

• A multi-modal Generative Adversarial Network for traffic event detection.

• Semi-supervised learning based on generative adversarial network.

• Detecting traffic events with both sensor and social media data.

• Evaluation based on a large, real-world multi-modal dataset.

摘要

•A multi-modal Generative Adversarial Network for traffic event detection.•Semi-supervised learning based on generative adversarial network.•Detecting traffic events with both sensor and social media data.•Evaluation based on a large, real-world multi-modal dataset.

论文关键词：Multi-modal learning,Semi-supervised learning,Traffic event detection,Generative adversarial network,Smart transportation,Deep learning

论文评审过程：Received 16 June 2020, Revised 9 September 2020, Accepted 22 March 2021, Available online 29 March 2021, Version of Record 11 April 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114939