Collaborative Research: CPS: Medium: Harmonious and Safe Coordination of Vehicles with Diverse Human / Machine Autonomy

合作研究：CPS：中：具有多样化人/机自主性的车辆的和谐与安全协调

• 批准号: 2312466
• 负责人: Junmin Wang
• 金额: $ 48.28万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-07-01 至 2026-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2312466&HistoricalAwards=false
• 关键词: Collaborative; Research; CPS; Medium; Harmonious

Human-driven vehicles (HDVs) and automated vehicles (AVs) of all levels (Level 1-5, AVs1-5) may share the highways in the long and foreseeable future. The increasing vehicle autonomy heterogeneity and diversity may jeopardize the safe and harmonious interaction among such vehicles with mixed autonomy on highways and pose a threat to the safety of all vehicles. This may exacerbate an already growing and alarming national concern on traffic safety. This project aims to advance the state of the art in the Cyber-Physical Systems (CPS) research areas of Autonomy, Safety, and Transportation by ushering in a new CPS paradigm of harmonious and safe integration of highway vehicles with heterogeneous, varying, and mixed human / machine autonomy. Through collaborative research, the project may create new methods and tools to enhance the highway driving safety of heterogeneous vehicles. The outcomes of this work may also be extended to advance other CPS in manufacturing, warehousing, and healthcare applications where interaction among humans and heterogeneous autonomous robots is pervasive and safe coordination among them is critical.The project seeks to address the emerging challenges associated with vehicles of heterogeneous autonomy in highway transportation by creating a universal framework that can augment AVs1-5 systems to enable safe and harmonious integration of vehicles in highway traffic. The research team will use an interdisciplinary research approach to understand driving behaviors and assess individual perceived safety of other HDVs and AVs1-5, as well as to achieve cooperative, decentralized behavioral coordination and verifiably safe control in highway traffic scenarios. Human-in-the-loop driving simulation experiments and scaled vehicle-traffic system experiments will be conducted to investigate and evaluate the developed methods. Educational activities such as curriculum development and graduate/undergraduate student research participation will be conducted. Research dissemination and K-12 outreach activities will also be pursued to further increase the broader impact of the research.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.

在可预见的未来，人类驾驶车辆（HDV）和各级自动驾驶车辆（AV）（1-5级，AV1-5）可能会共享高速公路。车辆自主异质性和多样性的增加可能会危及高速公路上混合自主车辆之间的安全和谐交互，并对所有车辆的安全构成威胁。 This may exacerbate an already growing and alarming national concern on traffic safety.该项目旨在通过引入一种新的 CPS 范式，将高速公路车辆与异构、变化和混合的人/机自主进行和谐、安全的集成，从而推进自主、安全和运输的网络物理系统 (CPS) 研究领域的最新技术。 Through collaborative research, the project may create new methods and tools to enhance the highway driving safety of heterogeneous vehicles.这项工作的成果还可以扩展到制造、仓储和医疗保健应用中的其他 CPS，在这些应用中，人类和异构自主机器人之间的交互普遍存在，并且它们之间的安全协调至关重要。该项目旨在通过创建一个通用框架来解决与高速公路运输中异构自主车辆相关的新挑战，该框架可以增强 AVs1-5 系统以实现安全和谐 公路交通中的车辆一体化。研究团队将采用跨学科研究方法来了解驾驶行为并评估其他 HDV 和 AV 1-5 的个人感知安全性，并在高速公路交通场景中实现合作、分散的行为协调和可验证的安全控制。将进行人在环驾驶模拟实验和规模化车辆交通系统实验，以研究和评估所开发的方法。 Educational activities such as curriculum development and graduate/undergraduate student research participation will be conducted.还将开展研究传播和 K-12 外展活动，以进一步增加研究的更广泛影响。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。