CAREER: A Combined Experimental and Theoretical Study of Human-Connected Automated Vehicle Interactions

这笔学院早期职业发展(Career)奖助金将通过提高交通系统的效率和安全性，为国家经济和福利做出贡献。这将通过引入一种基于车辆自动化和通信技术的新型拥堵管理策略来实现。目前的自动化车辆开发工作主要集中在孤立车辆的安全性上，很少考虑设计对人类驾驶员和交通系统效率的影响。在许多情况下，这种设计方法可能会给人类驾驶员带来额外的拥堵和不可预见的安全问题。通过仔细描述人类司机和互联自动车辆(CAV)之间的交互作用，这个职业项目将带来拥堵管理的新范例，并将导致我们的道路系统更有效地利用，并显著减少整个交通系统的拥堵。这笔赠款还将导致开发一个在线智能辅导系统，该系统提供一种系统的方法，向学生传授在未来高度多样化和动态的工作环境中发挥作用所需的技能和专业知识。这个可定制的教育平台可以被全国其他学科和其他大学采用。这项研究的结果将通过圆桌讨论、利益相关者会议和网络研讨会传播给广泛的受众。这项职业拨款的研究目标是检验这样一种假设，即与骑士队互动时，人类与其他人类互动时表现出不同的决策逻辑。这一假设将通过广泛的现场测试和从人类驾驶员对各种CAV动作的反应中收集的数据来评估。该项目还将探索人类行为随着时间的推移而演变的潜力，并将引入稳健的模型来捕捉人类行为的这种变化。利用现场试验的结果，该项目将引入基于CAV的去中心化交通整形方法，通过利用CAV来影响人类驾驶员的行为来维持所需的交通状态。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This Faculty Early Career Development (CAREER) grant will contribute to the national economy and welfare by enhancing the transportation system efficiency and safety. This will be achieved through introducing a novel congestion management strategy based on vehicle automation and communications technology. The current automated vehicle development efforts mainly focus on the safety of isolated vehicles with little consideration of the impacts of design on human drivers and on transportation system efficiency. Such design approaches, in many cases, can potentially result in additional congestion and unforeseen safety issues for human drivers. Through careful characterization of the interactions between human drivers and connected automated vehicles (CAVs), this CAREER project will lead to new paradigms for congestion management and will result in more efficient utilization of our roadway system and a significant reduction in congestion throughout the transportation system. This grant will also result in the development of an online intelligent tutoring system that offers a systematic approach to teach students the skills and expertise required to function within highly diverse and dynamic work environments of the future. This customizable educational platform can be adopted by other disciplines and other universities across the nation. The findings of this study will be disseminated to a wide range of audiences through round table discussions, stakeholder meetings, and webinars.The research objective of this CAREER grant is to test the hypothesis that humans exhibit a different decision-making logic when interacting with CAVs in comparison with when interacting with other humans. This hypothesis will be evaluated using extensive field tests and data collection from human driver behavior in response to various CAV maneuvers. This project will also explore the potential for the evolution of human behavior in response to CAVs over time and will introduce robust models to capture such changes in human behavior. Utilizing the findings from the field experiments, this project will lead to the introduction of decentralized CAV-based traffic shaping methodologies that can maintain a desired traffic state by utilizing CAVs to influence the behavior of human drivers.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.