分析影响驱动者接受高级驾驶辅助系统意愿的因素
摘要
高级驾驶辅助系统(ADAS)通过改善环境感知和减少人为错误来提高高速公路安全性。然而，误解、信任问题和知识缺口阻碍了其广泛采用。本研究 examines driver perceptions, knowledge sources, and usage patterns of ADAS in passenger vehicles. A nationwide survey collected data from a diverse sample of U.S. drivers. Machine learning models predicted ADAS adoption, with SHAP (SHapley Additive Explanations) identifying key influencing factors. Findings indicate that higher trust levels correlate with increased ADAS usage, while concerns about reliability remain a barrier. Specific features, such as Forward Collision Warning and Driver Monitoring Systems, significantly influence adoption likelihood. Demographic factors (age, gender) and driving habits (experience, frequency) also shape ADAS acceptance. Findings emphasize the influence of socioeconomic, demographic, and behavioral factors on ADAS adoption, offering guidance for automakers, policymakers, and safety advocates to improve awareness, trust, and usability.
引用
@article{arxiv.2502.16688,
title = {Analyzing Factors Influencing Driver Willingness to Accept Advanced Driver Assistance Systems},
author = {Hannah Musau and Nana Kankam Gyimah and Judith Mwakalonge and Gurcan Comert and Saidi Siuhi},
journal= {arXiv preprint arXiv:2502.16688},
year = {2025}
}