@article{Peng_2026, title={Personalizing In-Vehicle warnings: A causal machine learning approach to optimizing workload and risk perception}, volume={232}, ISSN={0001-4575}, url={http://dx.doi.org/10.1016/j.aap.2026.108519}, DOI={10.1016/j.aap.2026.108519}, journal={Accident Analysis & Prevention}, publisher={Elsevier BV}, author={Peng, Zhipeng and Huo, Yihe and Wang, Chenzhu and Easa, Said M. and Zhao, Xiatong}, year={2026}, month=July, pages={108519} }