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

基本信息

  • 批准号:
    1645657
  • 负责人:
  • 金额:
    $ 80万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2016
  • 资助国家:
    美国
  • 起止时间:
    2016-10-01 至 2018-12-31
  • 项目状态:
    已结题

项目摘要

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),其中许多功能是通过机械系统和电子控制单元之间的协作交互来实现的。此外,人类驾驶员在车辆驾驶中也扮演着重要的角色。对于这种网络-人-车系统(CHVS),驾驶员、车辆主动运动控制和车载实时计算与通信之间的协同协作与集成是提高车辆行驶安全性的关键。随着车载计算和通信技术的最新进展,本项目旨在开发车载自适应和个性化的人类驾驶员模型,创建针对驾驶员的车辆主动运动控制系统,设计可与个性化车辆运动控制方法有效综合的动态车载实时计算任务调度方法,并集成针对驾驶员的车辆间运动控制的车对车通信。这项研究一旦成功完成,将为优化综合车载计算和通信、个人驾驶特性、车辆动力学和主动运动控制创造方法,从而形成一种新型的CHVS,可以提高驾驶安全性,提高避免碰撞的可能性。研究目标将通过分析、计算和实验研究来实现。驾驶模拟器和真实车辆实验以及高保真仿真将有助于研究。该项目的研究成果将通过常规的学术出版物、CPS会议和访问相关公司进行工业合作来传播。部分研究成果将用于丰富不同学科的本科生和研究生课程。通过该项目,将产生高中夏令营和本科生研究机会,以吸引学生从事研究和追求科学和工程方面的高等教育。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
A feedforward and feedback integrated lateral and longitudinal driver model for personalized advanced driver assistance systems
  • DOI:
    10.1016/j.mechatronics.2018.02.007
  • 发表时间:
    2018-04-01
  • 期刊:
  • 影响因子:
    3.3
  • 作者:
    Schnelle, Scott;Wang, Junmin;Su, Hai-jun
  • 通讯作者:
    Su, Hai-jun
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Junmin Wang其他文献

A physics-based time-varying transport delay oxygen concentration model for dual-loop exhaust gas recirculation (EGR) engine air-paths
双回路废气再循环 (EGR) 发动机气路的基于物理的时变传输延迟氧浓度模型
  • DOI:
    10.1016/j.apenergy.2014.03.076
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Xiangrui Zeng;Junmin Wang
  • 通讯作者:
    Junmin Wang
Investigation of optical inhomogeneity of MgO:PPLN crystals for frequency doubling of 1560 nm laser
用于 1560 nm 激光倍频的 MgO:PPLN 晶体光学不均匀性研究
  • DOI:
    10.1016/j.optcom.2014.04.008
  • 发表时间:
    2014-09
  • 期刊:
  • 影响因子:
    2.4
  • 作者:
    Yulong Ge;Yashuai Han;Jun He;Junmin Wang
  • 通讯作者:
    Junmin Wang
Stability of Transmission Wave-Plate Equations with Local Indirect Damping
局部间接阻尼传输波片方程的稳定性
  • DOI:
    10.1007/s10440-022-00471-4
  • 发表时间:
    2022-02
  • 期刊:
  • 影响因子:
    1.6
  • 作者:
    Yaping Guo;Junmin Wang;Dongxia Zhao
  • 通讯作者:
    Dongxia Zhao
Stabilization of the Cascaded ODE-Schrödinger Equations Subject to Observation With Time Delay
时滞观测级联 ODE-薛定谔方程的稳定性
Nonlinear observer designs for diesel engine selective catalytic reduction (SCR) ammonia coverage ratio estimation
用于柴油机选择性催化还原 (SCR) 氨覆盖率估算的非线性观测器设计

Junmin Wang的其他文献

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{{ truncateString('Junmin Wang', 18)}}的其他基金

EFRI BRAID: Brain-inspired Algorithms for Autonomous Robots (BAAR)
EFRI BRAID:自主机器人的类脑算法 (BAAR)
  • 批准号:
    2318065
  • 财政年份:
    2023
  • 资助金额:
    $ 80万
  • 项目类别:
    Standard Grant
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
  • 财政年份:
    2023
  • 资助金额:
    $ 80万
  • 项目类别:
    Standard Grant
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
  • 财政年份:
    2018
  • 资助金额:
    $ 80万
  • 项目类别:
    Standard Grant
Making Global Capital Work: Economic Openness and Corporate Governance in Chinese Capital Markets
让全球资本发挥作用:中国资本市场的经济开放与公司治理
  • 批准号:
    1157909
  • 财政年份:
    2012
  • 资助金额:
    $ 80万
  • 项目类别:
    Standard Grant
CAREER: Integrated Estimation and Control of Over-Actuated Lightweight Electric Vehicles for Sustainable and Safe Mobility
职业:过度驱动轻型电动汽车的综合估计和控制,实现可持续和安全的出行
  • 批准号:
    1149657
  • 财政年份:
    2012
  • 资助金额:
    $ 80万
  • 项目类别:
    Standard Grant
Synergistically Integrated In-Cylinder Condition and Fueling Control for Advanced Multi-Mode Combustion Diesel Engines
先进多模式燃烧柴油发动机的协同集成缸内状态和燃油控制
  • 批准号:
    1029611
  • 财政年份:
    2010
  • 资助金额:
    $ 80万
  • 项目类别:
    Standard Grant

相似海外基金

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
  • 财政年份:
    2018
  • 资助金额:
    $ 80万
  • 项目类别:
    Standard Grant
CPS: Synergy: Collaborative Research: Semantics of Optimization for Real Time Intelligent Embedded Systems (SORTIES)
CPS:协同:协作研究:实时智能嵌入式系统(SORTIES)优化的语义
  • 批准号:
    1619729
  • 财政年份:
    2016
  • 资助金额:
    $ 80万
  • 项目类别:
    Standard Grant
CPS: Synergy: Collaborative Research: Semantics of Optimization for Real Time Intelligent Embedded Systems (SORTIES)
CPS:协同:协作研究:实时智能嵌入式系统(SORTIES)优化的语义
  • 批准号:
    1446520
  • 财政年份:
    2015
  • 资助金额:
    $ 80万
  • 项目类别:
    Standard Grant
CPS: Synergy: Collaborative Research: Semantics of Optimization for Real Time Intelligent Embedded Systems (SORTIES)
CPS:协同:协作研究:实时智能嵌入式系统(SORTIES)优化的语义
  • 批准号:
    1446812
  • 财政年份:
    2015
  • 资助金额:
    $ 80万
  • 项目类别:
    Standard Grant
CPS: Synergy: Collaborative Research: Semantics of Optimization for Real Time Intelligent Embedded Systems (SORTIES)
CPS:协同:协作研究:实时智能嵌入式系统(SORTIES)优化的语义
  • 批准号:
    1446758
  • 财政年份:
    2015
  • 资助金额:
    $ 80万
  • 项目类别:
    Standard Grant
CPS: Synergy: Collaborative Research: SensEye: An Architecture for Ubiquitous, Real-Time Visual Context Ssensing and Inference
CPS:协同:协作研究:SensEye:无处不在的实时视觉上下文感知和推理架构
  • 批准号:
    1239341
  • 财政年份:
    2012
  • 资助金额:
    $ 80万
  • 项目类别:
    Standard Grant
CPS: Synergy: Collaborative Research: SMARTER - Smart Manager for Adaptive and Real-Time Decisions in Building ClustERs
CPS:协同:协作研究:SMARTER - 构建集群中自适应和实时决策的智能管理器
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    1239093
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    2012
  • 资助金额:
    $ 80万
  • 项目类别:
    Standard Grant
CPS: Synergy: Collaborative Research: SensEye: An Architecture for Ubiquitous, Real-Time Visual Context Sensing and Inference
CPS:协同:协作研究:SensEye:无处不在的实时视觉上下文感知和推理架构
  • 批准号:
    1239031
  • 财政年份:
    2012
  • 资助金额:
    $ 80万
  • 项目类别:
    Standard Grant
CPS: Synergy: Collaborative Research: SMARTER - Smart Manager for Adaptive and Real-Time Decisions in Building ClustERs
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  • 批准号:
    1239257
  • 财政年份:
    2012
  • 资助金额:
    $ 80万
  • 项目类别:
    Standard Grant
CPS: Synergy: Collaborative Research: SMARTER - Smart Manager for Adaptive and Real-Time Decisions in Building ClustERs
CPS:协同:协作研究:SMARTER - 构建集群中自适应和实时决策的智能管理器
  • 批准号:
    1239247
  • 财政年份:
    2012
  • 资助金额:
    $ 80万
  • 项目类别:
    Standard Grant
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