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基于体验的自动驾驶出行共乘意愿研究

Research on the willingness of autonomous driving ride-sharing travel based on user experience
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摘要 随着科学技术的日益进步,自动驾驶技术飞速发展,为缓解交通拥堵,自动驾驶模式下的共乘出行将共享自动驾驶汽车与动态共乘相结合,能够为出行者提供更多按需出行的服务,同时积极探索绿色交通和可持续发展。文中以自动驾驶体验为出发点,对通勤出行者进行问卷调查,获取其日常通勤出行行为、自动驾驶出行体验认知及态度、自动驾驶汽车共乘意愿和个人经济社会属性信息。在此基础上,利用TransCAD构建体验前、后出行者的自动驾驶共乘意愿模型,深入探讨私家车通勤者和公共交通通勤者在自动驾驶模式下的共乘偏好。结果表明:私家车和公共交通通勤者的共乘意愿具有显著差异;在实际开放道路交通环境中,自动驾驶模式下通勤者的共乘意愿受到日常出行行为、自动驾驶认知水平、对自动驾驶汽车态度、共乘态度及共乘相关因素等影响;自动驾驶共乘体验使通勤者对自动驾驶的认知水平得到显著提升。 With the rapid advancement of science and technology,autonomous driving technology has experienced rapid development.In order to alleviate traffic congestion,ride-sharing in autonomous driving mode seamlessly integrates shared autonomous vehicles with dynamic carpooling.It provides travelers with a broader range of on-demand transportation services while also actively exploring green transportation and sustainable development.In this research,the experience of autonomous driving serves as the foundational basis for a questionnaire survey targeting commuters.The aim is to ascertain their daily travel patterns,perspectives and attitudes towards autonomous driving,inclination to participate in ride-sharing within autonomous vehicles and personal socio-economic attributes.Building upon this foundation,TransCAD is utilized to create willingness models for autonomous driving ride-sharing for both pre-experience and post-experience travelers,providing insights into the ride-sharing preferences of private car commuters and public transport commuters in autonomous driving mode.The results indicate that there is a significant difference between private car and public transport commuters'willingness to ride-sharing.The willingness of commuters to ride-sharing in autonomous driving mode in an actual open road traffic environment is influenced by daily commuting travel factors,autonomous driving awareness levels,attitudes towards autonomous vehicles,ride-sharing attitudes,and ride-sharing related factors.The autonomous driving ride-sharing experience resulted in a significant increase in commuters'awareness level of autonomous driving.This study provides a theoretical foundation for traffic management while simultaneously offering solutions to promote autonomous driving ride-sharing and alleviate traffic congestion issues.
作者 秦焕美 卢兆麟 孙梦丽 QIN Huanmei;LU Zhaolin;SUN Mengli(Faculty of Architecture,Civil and Transportation Engineering,Beijing University of Technology,Beijing 100124,China)
出处 《黑龙江工程学院学报》 CAS 2024年第5期25-31,51,共8页 Journal of Heilongjiang Institute of Technology
基金 北京市自然科学基金项目(8212002,L201008) 国家留学基金资助 国家自然科学基金项目(71971005)。
关键词 自动驾驶 共乘意愿 体验 BL模型 autonomous driving willingness to ride-sharing experience BL model
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