CPS: Medium: Addressing Design and Human Factors Challenges in Cyber Transportation Systems
CPS:中:解决网络运输系统中的设计和人为因素挑战
基本信息
- 批准号:1035733
- 负责人:
- 金额:$ 70.75万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2010
- 资助国家:美国
- 起止时间:2010-09-15 至 2014-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Abstract for Project 1035733:Addressing Design and Human Factors Challenges in Cyber-Transportation Systems This project has two closely related objectives. The first is to design and evaluate new Cyber Transportation Systems (CTS) applications for improved traffic safety and traffic operations. The second is to design and develop an integrated traffic-driving-networking simulator. The project takes a multi-disciplinary approach that combines cyber technologies, transportation engineering and human factors. While transportation serves indispensible functions to society, it does have its own negative impacts in terms of accidents, congestion, pollution, and energy consumption. To improve traffic safety, the project will develop and evaluate novel algorithms and protocols for prioritization, delivery and fusion of various warning messages so as to reduce drivers? response time and workload, prevent conflicting warnings, and minimize false alarms. To improve traffic operations, the project will focus on the design of next generation traffic management and control algorithms for both normal and emergency operations (e.g. during inclement weather and evacuation scenarios). Both human performance modeling methods and human subjects? experimental methods will be used to address the human element in this research. As the design and evaluation of CTS applications requires an effective development and testing platform linking the human, transportation and cyber elements, the project will also design and develop a simulator that combines the main features of a traffic simulator, a networking simulator and a driving simulator. The integrated simulator will allow a human driver to control a subject vehicle in a virtual environment with realistic background traffic, which is capable of communicating with the driver and other vehicles with CTS messages. Background traffic will be controlled by a realistic driver model based on our human factors research that accounts for CTS messages? impact on driver behavior. Intellectual Merits: The project explicitly considers human factors in the design and evaluation of CTS safety and operations applications, a topic which has not received adequate attention. Moreover, the proposed integrated simulator represents a first-of-a-kind simulator with unique features that can reduce the design and evaluation costs of new CTS applications.Broader Impacts: The proposed research can improve the safety, efficiency and environmental-friendless of transportation systems, which serve as the very foundation of modern societies and directly affects the quality of life. The integrated simulator will be used as a tool for teenage and elderly driver education and training, and to inspire minority, middle and high school students to pursue careers in math, science, and computer-related fields
摘要项目1035733:解决设计和人为因素的挑战,在网络交通系统这个项目有两个密切相关的目标。首先是设计和评估新的网络交通系统(CTS)应用程序,以改善交通安全和交通运营。二是设计开发了交通-驾驶-联网一体化模拟器。该项目采用多学科方法,结合了网络技术、交通工程和人为因素。 虽然交通运输对社会发挥着不可或缺的作用,但它在事故、拥堵、污染和能源消耗方面也有自己的负面影响。为了改善交通安全,该项目将开发和评估新的算法和协议,用于优先化,交付和融合各种警告信息,以减少司机?响应时间和工作量,防止相互冲突的警告,并尽量减少误报。 为了改善交通运营,该项目将专注于为正常和紧急运营(例如恶劣天气和疏散场景)设计下一代交通管理和控制算法。人类行为建模方法和人类主体?在这项研究中,将采用实验方法来处理人的因素。由于CTS应用程序的设计和评估需要一个有效的开发和测试平台,将人类,交通和网络元素联系起来,该项目还将设计和开发一个模拟器,该模拟器结合了交通模拟器,网络模拟器和驾驶模拟器的主要功能。集成的模拟器将允许人类驾驶员在具有现实背景交通的虚拟环境中控制主体车辆,该虚拟环境能够与驾驶员和其他车辆进行CTS消息通信。 背景交通将控制一个现实的驱动程序模型的基础上,我们的人为因素的研究,占CTS消息?对驾驶员行为的影响。 智力优势:该项目在CTS安全和操作应用的设计和评估中明确考虑了人为因素,这一主题尚未得到足够的重视。 此外,拟议的集成模拟器代表了首创的模拟器,具有独特的功能,可以降低新CTS应用的设计和评估成本。更广泛的影响:拟议的研究可以提高交通系统的安全性、效率和环保性,交通系统是现代社会的基础,直接影响生活质量。 综合模拟器将被用作青少年和老年驾驶员教育和培训的工具,并激励少数民族,初中和高中学生追求数学,科学和计算机相关领域的职业生涯
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Chunming Qiao其他文献
Decentralized Machine Learning Through Experience-Driven Method in Edge Networks
通过边缘网络中的经验驱动方法进行去中心化机器学习
- DOI:
10.1109/jsac.2021.3118424 - 发表时间:
2022-02 - 期刊:
- 影响因子:16.4
- 作者:
Hongli Xu;Min Chen;Zeyu Meng;Yang Xu;Lun Wang;Chunming Qiao - 通讯作者:
Chunming Qiao
Demo: Attacking LiDAR Semantic Segmentation in Autonomous Driving
演示:攻击自动驾驶中的 LiDAR 语义分割
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Yi Zhu;Chenglin Miao;Foad Hajiaghajani;Mengdi Huai;Lu Su;Chunming Qiao - 通讯作者:
Chunming Qiao
Integrating Coflow and Circuit Scheduling for Optical Networks
集成光网络协流和电路调度
- DOI:
10.1109/tpds.2018.2889251 - 发表时间:
2019-06 - 期刊:
- 影响因子:5.3
- 作者:
Haibo Wang;Xiwen Yu;Hongli Xu;Jingyuan Fan;Chunming Qiao;Liusheng Huang - 通讯作者:
Liusheng Huang
Achieving Fine-Grained Flow Management Through Hybrid Rule Placement in SDNs
通过 SDN 中的混合规则放置实现细粒度流量管理
- DOI:
10.1109/tpds.2020.3030630 - 发表时间:
2021-03 - 期刊:
- 影响因子:5.3
- 作者:
Gongming Zhao;Hongli Xu;Jingyuan Fan;Liusheng Huang;Chunming Qiao - 通讯作者:
Chunming Qiao
Spectrum allocation in spectrum-sliced elastic optical path networks using traffic prediction
- DOI:
10.1007/s11107-015-0489-z - 发表时间:
2015-03-24 - 期刊:
- 影响因子:1.700
- 作者:
Sunny Shakya;Xiaojun Cao;Zilong Ye;Chunming Qiao - 通讯作者:
Chunming Qiao
Chunming Qiao的其他文献
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{{ truncateString('Chunming Qiao', 18)}}的其他基金
PFI-TT: Crowdsourced Road Geometry Estimation using Smartphones
PFI-TT:使用智能手机进行众包道路几何估计
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2044670 - 财政年份:2021
- 资助金额:
$ 70.75万 - 项目类别:
Standard Grant
Collaborative Research: CCRI: New: Medium: A Development and Experimental Environment for Privacy-preserving and Secure (DEEPSECURE) Machine Learning
合作研究:CCRI:新:媒介:隐私保护和安全(DEEPSECURE)机器学习的开发和实验环境
- 批准号:
2120369 - 财政年份:2021
- 资助金额:
$ 70.75万 - 项目类别:
Standard Grant
SCC-IRG Track 2: Towards Quality Aware Crowdsourced Road Sensing for Smart Cities
SCC-IRG 第 2 轨:迈向智慧城市的质量意识众包道路传感
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1737590 - 财政年份:2017
- 资助金额:
$ 70.75万 - 项目类别:
Standard Grant
MRI: Development of iCAVE2 (Instrument for Connected and Autonomous Vehicle Evaluation and Experimentation)
MRI:开发 iCAVE2(联网和自动驾驶车辆评估和实验仪器)
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1626374 - 财政年份:2016
- 资助金额:
$ 70.75万 - 项目类别:
Standard Grant
Collaborative Research: Preserving User Privacy in Server-driven Dynamic Spectrum Access System
合作研究:在服务器驱动的动态频谱接入系统中保护用户隐私
- 批准号:
1547223 - 财政年份:2016
- 资助金额:
$ 70.75万 - 项目类别:
Standard Grant
CSR:Medium:Collaborative Research: An Analytical Approach to Quantifying Availability (AQUA) for Cloud Resource Provisioning and Allocation
CSR:中:协作研究:量化云资源配置和分配的可用性 (AQUA) 的分析方法
- 批准号:
1409809 - 财政年份:2014
- 资助金额:
$ 70.75万 - 项目类别:
Standard Grant
Collaborative Research: RIPS Type 2: Strategic Analysis and Design of Robust and Resilient Interdependent Power and Communications Networks
合作研究:RIPS 类型 2:稳健且有弹性的相互依赖的电力和通信网络的战略分析和设计
- 批准号:
1441284 - 财政年份:2014
- 资助金额:
$ 70.75万 - 项目类别:
Standard Grant
EAGER: Create a Socially-aware Single System Image (S3I) in GENI
EAGER:在 GENI 中创建具有社交意识的单一系统映像 (S3I)
- 批准号:
1049775 - 财政年份:2010
- 资助金额:
$ 70.75万 - 项目类别:
Standard Grant
SGER-Explorying Sociological Orbits in Mobile Users' Mobility Pattern
SGER-探索移动用户移动模式中的社会学轨道
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0553273 - 财政年份:2005
- 资助金额:
$ 70.75万 - 项目类别:
Standard Grant
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合作研究:NeTS-NR:超宽带光无线通信网络
- 批准号:
0435155 - 财政年份:2004
- 资助金额:
$ 70.75万 - 项目类别:
Continuing Grant
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