REU Site: Smart Cities - Intelligent, Safe, And Secure Mobility
REU Site: Smart Cities - Intelligent, Safe, And Secure Mobility
批准号:
1950872
负责人:
Brendan Morris
金额:
$40.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
未结题
起止时间:
2020-06-01 至 2025-05-31
中文摘要
智能城市不再是科幻小说作家的未来梦想,而是在研究实验室、工业以及越来越多的日常生活中成为现实。这个REU网站项目旨在教育和激励本科生研究人员解决建设智能、安全、有保障的智能城市的挑战,重点是移动性。该项目将通过推进该领域的研究,并通过招募来自不同背景的学生来扩大和加强STEM管道,对参与者和社会产生广泛的影响。该项目的主要目标有两个:加速智能城市的发展,并在拉斯维加斯内华达大学的教师导师的指导下,为学生们指明不仅有趣而且对社会至关重要的研究问题。这些总体目标也与内华达-南方智能社区愿景协同作用,其目标是提高公共部门效率,促进经济增长,并通过移动/交通,宜居社区,能源效率和公共安全改善公民生活质量。通过该项目的研究和课外活动,我们的目标不仅是培养本科生研究人员的特定技能,而且要拓宽他们的世界观,并激励他们从事研究,以解决我们作为一个学科和全球社区面临的最具挑战性和最关键的问题。该项目的主要目标是:(1)让30名本科生参与实践项目;(2)推进智慧城市的研究(包括嵌入式系统、机器学习、控制、通信、电源管理、网络安全等子领域);(3)发表同行评议的出版物,同时(4)为参与者提供课外培训,不仅支持他们长期的学术或行业生涯,而且(5)激励他们成为该领域的领导者。与此同时,这些努力将加强内华达大学拉斯维加斯分校电气、计算机工程和计算机科学系的研究基础设施,以加强他们长期支持和指导本科生研究人员的能力。该项目的主要重点是智能移动,包括几个关键研究领域,包括ITS(智能交通系统)、cav(联网自动驾驶汽车)和V2X(车对一切)通信。这些领域对于提高生活质量、减少延误、提高道路使用者的服务质量、确保关键基础设施的安全、提供更安全的道路和基于数据的更明智的决策至关重要。项目包括事故自动检测、交通信号状态通信、智能停车优化、基于基础设施的车辆控制、紧凑型激光雷达系统的开发、绿色出行的能源存储、V2X收发器的新设计以及自动威胁检测。30名学生将在具有挑战性、及时性和参与性的项目中获得实践经验,这些项目将推动智慧城市的研究,并与课外培训相结合,为他们提供成为该领域领导者的工具。该站点由国防部与NSF REU项目合作提供支持。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Smart Cities are no longer a futuristic dream of science fiction writers but they are emerging as a reality in research labs, industry, and, increasingly, in everyday life. This REU Site project aims to educate and inspire undergraduate researchers to address the challenges of building intelligent, safe, and secure Smart Cities with a focus on mobility. The project will have broad impacts on both the participants and society by advancing research in this area and by expanding and strengthening the STEM pipeline by recruiting students from a diverse range of backgrounds. This project’s main goals are two-fold: to accelerate advances in Smart Cities and to point students toward research problems that are not only interesting but also critical to society as guided by their faculty mentors at the University of Nevada, Las Vegas. These overarching goals are also synergistic with the Nevada-South Smart Community Vision with its stated goals of increasing public sector efficiency, facilitating economic growth, and improving citizen quality of life through mobility/transportation, livable communities, energy efficiency, and public safety. Through the project’s research and co-curricular activities, we aim not only to train undergraduate researchers in specific skills but also to broaden their world view and inspire them to engage in research that will solve the most challenging and critical problems facing us as a discipline and as a global community.The main objectives of the project are (1) to engage 30 undergraduates in hands-on projects that (2) advance research in Smart Cities (including subareas of embedded systems, machine learning, control, communications, power management, cybersecurity, and computer vision) and that (3) lead to peer-reviewed publications while also (4) providing participants with co-curricular training that will not only support their long-term academic or industry careers but also (5) inspires them to be leaders in the field. At the same time these efforts will strengthen the research infrastructure in the electrical and computer engineering and computer science departments at the University of Nevada, Las Vegas to bolster their long-term ability to support and mentor undergraduate researchers. The main focus of the project, Smart Mobility, encompasses several key research areas including ITS (Intelligent Transportation Systems), CAVs (connected autonomous vehicles), and V2X (Vehicle-to-Everything) communication. These areas are crucial for increasing quality of life, reducing delays, increasing quality of service for road users, securing critical infrastructure, and providing safer roadways and more informed decision-making based on data. Projects include automatic detection of accidents, communication of traffic signal status, smart parking optimizations, infrastructure-based vehicle control, development of a compact LiDAR system, energy storage for green mobility, novel designs of V2X transceivers, and automatic threat detection. The 30 student participants will gain hands-on experience in challenging, timely, and engaging projects that will advance research in Smart Cities and, in conjunction with co-curricular training, will provide them with tools to become leaders in the field.This site is supported by the Department of Defense in partnership with the NSF REU program.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.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
IoT Machine Learning Based Parking Management System with Anticipated Prediction of Available Parking Spots
基于物联网机器学习的停车管理系统,可预测可用停车位
DOI:
10.1007/978-3-030-97652-1_41
发表时间:
2022
期刊:
ITNG 2022 19th International Conference on Information Technology-New Generations
影响因子:
--
作者:
[Chmaj, Grzegorz, Lazeroff, Michael]
通讯作者:
Lazeroff, Michael
DOI:
10.1109/icves56941.2022.9987182
发表时间:
2022-10
期刊:
2022 IEEE International Conference on Vehicular Electronics and Safety (ICVES)
影响因子:
--
作者:
[Steven Nguyen;Zillur Rahman;B. Morris]
通讯作者:
Steven Nguyen;Zillur Rahman;B. Morris
MRI: Acquisition of Connected Autonomous Vehicles (CAV) Infrastructure to Support Cooperative Human-Robot Driving and Pedestrian Safety
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批准号:2216489
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资助金额:$37.73万
-
财政年份:2022
-
负责人:Brendan Morris
-
依托单位:
Collaborative Research: CISE-MSI: RCBP-RF: CPS, CNS: Emergency Response and Evacuation Training for Active Shooter Events
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资助金额:$12.0万
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负责人:Brendan Morris
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I-Corps: Costumer Discovery for Demand-responsive Transverse Rumble Strips
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批准号:1852940
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资助金额:$5.0万
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财政年份:2018
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负责人:Brendan Morris
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