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Counterfactual explanations for deep learning-based traffic forecasting

Rushan Wang Yanan Xin Yatao Zhang Fernando Perez-Cruz Martin Raubal

交通研究通讯（英文）2025，Vol.5Issue(2)：123-140,18.

交通研究通讯（英文）2025，Vol.5Issue(2)：123-140,18.DOI:10.1016/j.commtr.2025.100176

Counterfactual explanations for deep learning-based traffic forecasting

Rushan Wang ¹Yanan Xin ²Yatao Zhang ¹Fernando Perez-Cruz ³Martin Raubal¹

作者信息

1. Institute of Cartography and Geoinformation,ETH Zurich,Zurich,8092,Switzerland
2. WSL Institute for Snow and Avalanche Research SLF,Davos Dorf,7260,Switzerland
3. Department of Transport and Planning,TU Delft,Delft,2600,the Netherlands
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摘要

关键词

Traffic forecast/Deep learning/Counterfactual explanations/Explainable artificial intelligence

Key words

Traffic forecast/Deep learning/Counterfactual explanations/Explainable artificial intelligence

引用本文复制引用

Rushan Wang,Yanan Xin,Yatao Zhang,Fernando Perez-Cruz,Martin Raubal..Counterfactual explanations for deep learning-based traffic forecasting[J].交通研究通讯（英文）,2025,5(2):123-140,18.

基金项目

We would like to thank HERE Technologies for providing the traffic data used in this study.The study is supported by the Hasler Foundation under the project Interpretable and Robust Machine Learning for Mobility Analysis(No.21041).The study is partially conducted at the Future Resilient Systems program at the Singapore-ETH Centre,sup-ported by the National Research Foundation(NRF)Singapore under its Campus for Research Excellence and Technological Enterprise(CREATE)program. （No.21041）

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ISSN：2772-4247

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