Counterfactual explanations for deep learning-based traffic forecastingOA
Counterfactual explanations for deep learning-based traffic forecasting
Rushan Wang;Yanan Xin;Yatao Zhang;Fernando Perez-Cruz;Martin Raubal
Institute of Cartography and Geoinformation,ETH Zurich,Zurich,8092,SwitzerlandWSL Institute for Snow and Avalanche Research SLF,Davos Dorf,7260,SwitzerlandInstitute of Cartography and Geoinformation,ETH Zurich,Zurich,8092,SwitzerlandDepartment of Transport and Planning,TU Delft,Delft,2600,the NetherlandsInstitute of Cartography and Geoinformation,ETH Zurich,Zurich,8092,Switzerland
Traffic forecastDeep learningCounterfactual explanationsExplainable artificial intelligence
Traffic forecastDeep learningCounterfactual explanationsExplainable artificial intelligence
《交通研究通讯（英文）》 2025 (2)
123-140,18
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.
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