CPS: Synergy: Real-Time Cyber-Human-Vehicle Systems for Driving Safety Enhancement

CPS：协同：用于增强驾驶安全的实时网络人车系统

• 批准号: 1901632
• 负责人: Junmin Wang
• 金额: $ 50.91万
• 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: 2018
• 资助国家: 美国
• 起止时间: 2018-09-08 至 2021-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1901632&HistoricalAwards=false
• 关键词: CPS; Synergy; Real; Time; Cyber

Modern ground vehicles are complex cyber-physical systems (CPS) in which many functions are achieved by collaborative interactions between mechanical systems and electronic control units. In addition, human drivers also play important roles on the vehicle driving. For such cyber-human-vehicle systems (CHVS), the synergistic collaborations and integrations among human drivers, vehicle active motion control, and onboard real-time computation and communication are critical for enhancing vehicle driving safety. With the recent advances on vehicle onboard computation and communication technologies, this project aims to develop onboard-adaptable and personalizable human driver models, create driver-specific vehicle active motion control systems, design dynamic onboard real-time computation task scheduling methods that can effectively synthesize with the personalized vehicle motion control methods, and integrate the vehicle-to-vehicle communications for driver-specific, inter-vehicle motion control. The research, upon successful completion, can create methodologies for optimally synthesizing onboard computation and communications, individual human driving characteristics, and vehicle dynamics and active motion control to form a novel CHVS that can enhance the driving safety and increase the likelihood of collision-avoidance. The research objectives will be pursued through analytical, computational, and experimental studies. Driving simulator and real vehicle experiments together with high-fidelity simulations will assist the investigations.The research results from this project will be disseminated through usual academic publications, CPS meetings, and visits to relevant companies for industrial collaborations. Some of the research findings will be used to enrich several undergraduate and graduate courses in different disciplines. High-school summer camp and undergraduate student research opportunities will be generated through this project to attract students to engage in the research and to pursue higher education in science and engineering.

现代地面车辆是复杂的网络物理系统（CPS），通过机械系统与电子控制单元之间的协作相互作用，可以实现许多功能。 此外，人驾驶员还在车辆驾驶中起着重要作用。对于此类网络人类车辆系统（CHVS），人类驾驶员之间的协同合作和集成，车辆主动运动控制以及机上实时计算和沟通对于增强车辆驾驶安全至关重要。 随着车载计算和通信技术的最新进展，该项目旨在开发板载式和个性化的人类驾驶员模型，创建驾驶员特异性的车辆主动运动控制系统，设计动态的板载实时计算任务调度方法，这些方法可以有效地与个性化的车辆运动控制方法合成，并集成了车辆到车辆通信的驾驶员，以供驾驶员进行驾驶员的交流。这项研究成功完成后，可以创建方法，以最佳地合成车载计算和通信，单个人类驾驶特性以及车辆动力学和主动运动控制，以形成新型的CHV，从而提高驾驶安全性并增加避免碰撞的可能性。研究目标将通过分析，计算和实验研究来实现。驾驶模拟器和真实的车辆实验以及高保真模拟将有助于调查。该项目的研究结果将通过通常的学术出版物，CPS会议以及访问相关公司进行工业合作来传播。一些研究发现将用于丰富不同学科的几个本科生和研究生课程。通过该项目将为高中夏令营和本科生研究机会，以吸引学生从事研究并从事科学和工程领域的高等教育。

项目成果

Drivers’ Spatio-Temporal Attentional Distributions Are Influenced by Vehicle Dynamics and Displayed Point of View

• DOI: 10.1177/0018720820902879
• 发表时间: 2020-02
• 期刊: Human Factors: The Journal of Human Factors and Ergonomics Society
• 作者: Tyler N. Morrison;E. Rizzi;O. A. Turkkan;R. Jagacinski;Haijun Su;Junmin Wang

Dynamic Channel Selection for Real-Time Safety Message Communication in Vehicular Networks

• DOI: 10.1109/rtss.2018.00016
• 发表时间: 2018-12
• 期刊: 2018 IEEE Real-Time Systems Symposium (RTSS)
• 作者: Yunhao Bai;Kuangyu Zheng;Zejiang Wang;Xiaorui Wang;Junmin Wang

Spatio-Temporal Flexibility of Attention Inferred from Drivers’ Steering Movements

从驾驶员的转向动作推断出注意力的时空灵活性

• DOI: 10.1080/00222895.2020.1868968
• 发表时间: 2021
• 期刊: Journal of Motor Behavior
• 影响因子: 1.4
• 作者: Rizzi, Emanuele;Jagacinski, Richard J.;Bloom, Benjamin J.
• 通讯作者: Bloom, Benjamin J.

An Algebraic Evaluation Framework for a Class of Car-Following Models

一类跟驰模型的代数评估框架

• DOI: 10.1109/tits.2021.3113788
• 发表时间: 2021
• 期刊: IEEE Transactions on Intelligent Transportation Systems
• 影响因子: 8.5
• 作者: Wang, Zejiang;Zhou, Xingyu;Wang, Junmin
• 通讯作者: Wang, Junmin

WiDrive: Adaptive WiFi-based Recognition of Driver Activity for Real-time and Safe Takeover

• DOI: 10.1109/icdcs.2019.00094
• 发表时间: 2019-01-01
• 期刊: 2019 39TH IEEE INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS 2019)
• 作者: Bai, Yunhao;Wang, Zejiang;Wang, Junmin
• 通讯作者: Wang, Junmin