SCC-PG: SmartCurb: Building Smart Urban Curb Environments
SCC-PG: SmartCurb: Building Smart Urban Curb Environments
批准号:
2124858
负责人:
Yan Wang
金额:
$15.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-10-01 至 2023-09-30
中文摘要
美国城市正在见证电动汽车(EV)、自动驾驶汽车、车载电子设备、全球定位系统、移动的设备、数字地图以及众多辅助驾驶和停车的应用程序的变革性创新时代。然而,车辆运行的路边环境的进步并没有跟上。路缘环境是连接道路交通和城市社区人行道的独特纽带,但由于接送、货物装载、电动汽车充电、自行车和滑板车停车的空间竞争,路缘环境在城市核心区负担沉重。这项NSF智能互联社区规划拨款研究了佛罗里达盖恩斯维尔市的市中心和佛罗里达大学(UF)校园社区的路边环境。它的重点是如何整合车辆,人员,移动的设备,物理和网络基础设施,以协调遏制空间的使用。总的来说,这些创新将最大限度地提高公平和便利的访问,同时最大限度地减少温室气体排放,促进健康和可持续的社区,缓解路边空间的拥堵,并提高社区居民的宜居性。该项目探讨了美国各地城市面临的重要的、新出现的挑战。我们将与当地社区分享所学到的知识,这些社区将长期受益,为未来蓬勃发展的技术和移动创新做好城市限制准备。该项目旨在了解城市社区的路边空间使用情况,并制定战略管理,以适应日益多样化和相互冲突的路边空间使用,以应对新兴的车辆技术和移动创新。几个关键的跨学科的研究问题得到解决,包括(一)如何从遏制环境,车辆和人类移动的设备的传感器数据可以收集,策划,并与单独的交通和停车管理实体联合?(ii)如何设计、规划和管理路边环境,以解决城市社区网络基础设施中的拥堵、安全和可访问性问题?(iii)如何准确预测未来路缘石用途的时空演变?(iv)如何在真实的时间内创造性地协调各种路缘石用途?(v)在进行监控、传感和数据分析时,路边环境中的车辆和人员可能面临哪些隐私问题,以及如何设计创新技术来减轻隐私威胁?该项目小组将形成新的研究问题,从社会技术的角度在校园市中心的背景下,发展学术和社区的伙伴关系,必要的知识,以解决问题,并准备试验台“智能路缘”环境,以纳入未来的SCC-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进行评估而被认为值得支持和更广泛的影响审查标准。
英文摘要
U.S. cities are witnessing an era of transformative innovations in electric vehicles (EVs), autonomous vehicles, on-vehicle electronics, Global Position System, mobile devices, digital maps, and numerous apps that assist driving and parking. However, the advance in curb environments where vehicles operate has not kept pace. Curb environments serve as a unique nexus that connects on-road traffic and pedestrian sidewalks across urban communities, but are burdened in urban cores due to space competition for pick-ups and drop-offs, freight loading, EVs charging, bicycle, and scooter parking. This NSF Smart & Connected Community planning grant studies curbside environments at the downtown and University of Florida (UF) campus communities in the City of Gainesville, Florida. It focuses on how to integrate vehicles, people, mobile devices, physical and cyber infrastructures to coordinate curb space uses. Collectively, these innovations will maximize equitable and convenient access while minimizing greenhouse gas emissions for healthy and sustainable communities, relieving congestion at curb spaces, and boosting livability for community residents. The project explores important, emerging challenges faced by cities across America. The knowledge learned will be shared with local communities, who will benefit in the long term, to prepare city curbs for future burgeoning technology and mobility innovations. The project seeks to understand curb space uses of urban communities and to develop strategic management to adapt increasingly diverse and conflicting curb space uses in response to emerging vehicular technologies and mobility innovations. Several key interdisciplinary research questions are addressed, including (i) how sensor data from curb environments, vehicles, and human mobile devices can be collected, curated, and correlated jointly by separate transportation and parking management entities? (ii) how to design, plan, and manage curb environments to address congestion, safety, and accessibility issues collectively across cyberinfrastructure in the urban communities? (iii) how to precisely predict the evolvement of curb uses across time and space in the future? (iv) how to creatively coordinate various curb uses in real time? (v) what are the potential privacy issues to vehicles and people at curb environments when surveillance, sensing, and data analyses are performed, and how to design innovative technologies to mitigate privacy threats? The project team will form novel research problems from socio-technical perspectives in the context of campus-downtown settings, develop academic and community partnerships with the necessary knowledge to address the problems, and prepare testbed “Smart Curb” environments to be included in a future SCC-IRG proposal.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(9)
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DOI:
10.1016/j.compenvurbsys.2022.101914
发表时间:
2023-01
期刊:
Comput. Environ. Urban Syst.
影响因子:
--
作者:
[Haiyan Hao;Yan Wang;Lili Du;S. Chen]
通讯作者:
Haiyan Hao;Yan Wang;Lili Du;S. Chen
DOI:
10.1061/(asce)me.1943-5479.0001021
发表时间:
2022
期刊:
Journal of Management in Engineering
影响因子:
7.4
作者:
[Yan Wang;Haiyan Hao;Chen Wang]
通讯作者:
Yan Wang;Haiyan Hao;Chen Wang
DOI:
10.1145/3589979
发表时间:
2023-05
期刊:
Proceedings of the ACM on Measurement and Analysis of Computing Systems
影响因子:
--
作者:
[Haibo Wang;Dimitrios Melissourgos;Chaoyi Ma;Shigang Chen]
通讯作者:
Haibo Wang;Dimitrios Melissourgos;Chaoyi Ma;Shigang Chen
DOI:
10.1016/j.trb.2022.12.006
发表时间:
2023-02
期刊:
Transportation Research Part B: Methodological
影响因子:
--
作者:
[Yuqi Ning;Lili Du]
通讯作者:
Yuqi Ning;Lili Du
DOI:
10.1109/tnet.2022.3197968
发表时间:
2023-04
期刊:
IEEE/ACM Transactions on Networking
影响因子:
--
作者:
[Haibo Wang;Chaoyi Ma;Olufemi O. Odegbile;Shigang Chen;J. Peir]
通讯作者:
Haibo Wang;Chaoyi Ma;Olufemi O. Odegbile;Shigang Chen;J. Peir
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