SCC-PG: SmartCurb: Building Smart Urban Curb Environments
SCC-PG:SmartCurb:构建智能城市路缘环境
基本信息
- 批准号:2124858
- 负责人:
- 金额:$ 15万
- 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
- 起止时间:2021-10-01 至 2023-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
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.
美国城市正在经历电动汽车 (EV)、自动驾驶汽车、车载电子设备、全球定位系统、移动设备、数字地图以及众多辅助驾驶和停车应用程序的变革性创新时代。然而,路边环境却取得了进步。车辆运行的地方并没有跟上步伐,路边环境作为连接城市社区道路交通和人行道的独特纽带,但由于上下车、货运的空间竞争而在城市核心区承受着负担。这项 NSF 智能互联社区规划拨款研究了佛罗里达州盖恩斯维尔市中心和佛罗里达大学 (UF) 校园社区的路边环境。总的来说,这些创新将最大限度地提高公平和便利的使用,同时最大限度地减少健康和可持续社区的温室气体排放,缓解路边空间的拥堵,并提高社区居民的宜居性。探索所学到的知识将与当地社区分享,为未来新兴的技术和交通创新做好城市路缘的准备,当地社区将受益匪浅。社区并制定战略管理,以适应日益多样化和冲突的路边空间用途,以应对新兴的车辆技术和移动创新,解决了几个关键的跨学科研究问题,包括(i)如何从路边环境、车辆和人类移动设备获取传感器数据。可以收集、编译和关联(ii) 如何设计、规划和管理路边环境,以共同解决城市社区网络基础设施的拥堵、安全和可达性问题? (iii) 如何准确预测路边的演变?未来跨时间和空间的用途?(iv)如何创造性地实时协调各种路边用途?(v)在进行监视、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?项目团队将在校园-市中心环境中从社会技术角度形成新颖的研究问题,发展学术和社区合作伙伴关系,并提供必要的知识来解决这些问题,并准备测试平台“智能路边”环境以纳入未来的SCC -IRG 提案。这反映了 NSF 的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(9)
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 data-driven traffic shockwave speed detection approach based on vehicle trajectory data
一种基于车辆轨迹数据的数据驱动的交通冲击波速度检测方法
- DOI:10.1080/15472450.2023.2270415
- 发表时间:2023-10
- 期刊:
- 影响因子:3.6
- 作者:Yang, Kaitai;Yang, Hanyi;Du, Lili
- 通讯作者:Du, Lili
Preparing Urban Curbside for Increasing Mobility-on-Demand Using Data-Driven Agent-Based Simulation: Case Study of City of Gainesville, Florida
使用数据驱动的基于代理的模拟为城市路边做好准备以增加按需出行:佛罗里达州盖恩斯维尔市的案例研究
- DOI:10.1061/(asce)me.1943-5479.0001021
- 发表时间:2024-09-14
- 期刊:
- 影响因子:7.4
- 作者:Yan Wang;Haiyan Hao;Chen Wang
- 通讯作者:Chen Wang
Randomized Error Removal for Online Spread Estimation in High-Speed Networks
高速网络中在线传播估计的随机误差消除
- DOI:10.1109/tnet.2022.3197968
- 发表时间:2022-01
- 期刊:
- 影响因子:0
- 作者:Wang, Haibo;Ma, Chaoyi;Odegbile, Olufemi O.;Chen, Shigang;Peir, Jih
- 通讯作者:Peir, Jih
Real-time Spread Burst Detection in Data Streaming
数据流中的实时扩展突发检测
- DOI:10.1145/3589979
- 发表时间:2023-05
- 期刊:
- 影响因子:0
- 作者:Wang, Haibo;Melissourgos, Dimitrios;Ma, Chaoyi;Chen, Shigang
- 通讯作者:Chen, Shigang
Robust and resilient equilibrium routing mechanism for traffic congestion mitigation built upon correlated equilibrium and distributed optimization
基于相关平衡和分布式优化的稳健且有弹性的平衡路由机制,用于缓解交通拥堵
- DOI:10.1016/j.trb.2022.12.006
- 发表时间:2023-02
- 期刊:
- 影响因子:0
- 作者:Ning, Yuqiang;Du, Lili
- 通讯作者:Du, Lili
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Yan Wang其他文献
Influence of Preparation Conditions of MIL-88A on Catalytic Degradation of Orange G and Dibutyl Phthalate
MIL-88A制备条件对催化降解Orange G和邻苯二甲酸二丁酯的影响
- DOI:
10.2991/icsd-17.2017.3 - 发表时间:
2017-07-01 - 期刊:
- 影响因子:0
- 作者:
Wang Jiumei;J. Wan;Yongwen Ma;Yan Wang;Zeyu Guan - 通讯作者:
Zeyu Guan
Physics-Based Compact Model for AlGaN/GaN MODFETs With Close-Formed $I$ – $V$ and $C$ – $V$ Characteristics
基于物理的 AlGaN/GaN MODFET 紧凑模型,具有紧密成形的 $I$ – $V$ 和 $C$ – $V$ 特性
- DOI:
10.1109/ted.2009.2030722 - 发表时间:
2009-10-30 - 期刊:
- 影响因子:3.1
- 作者:
Xiaoxu Cheng;Miao Li;Yan Wang - 通讯作者:
Yan Wang
Activation and overexpression of PARP-1 in circulating mononuclear cells promote TNF-alpha and IL-6 expression in patients with unstable angina.
循环单核细胞中 PARP-1 的激活和过度表达可促进不稳定型心绞痛患者的 TNF-α 和 IL-6 表达。
- DOI:
10.1016/j.arcmed.2008.09.003 - 发表时间:
2008-11-01 - 期刊:
- 影响因子:7.7
- 作者:
D;an Huang;an;Chongzhe Yang;Lan Yao;Yan Wang;Yuhua Liao;Kai Huang - 通讯作者:
Kai Huang
Rapid and sensitive detection of Listeria monocytogenes by cross-priming amplification of lmo0733 gene.
通过 lmo0733 基因交叉引发扩增快速、灵敏地检测单核细胞增生李斯特菌。
- DOI:
10.1111/1574-6968.12610 - 发表时间:
2014-12-01 - 期刊:
- 影响因子:2.1
- 作者:
Yi Wang;Yan Wang;Aijing Ma;Dongxun Li;C. Ye - 通讯作者:
C. Ye
Combining thermal–alkaline hydrolysis pretreatment with catalytic supercritical water gasification for hydrogen production from sewage sludge
热碱水解预处理与催化超临界水气化相结合用于污水污泥制氢
- DOI:
10.1016/j.jwpe.2024.105062 - 发表时间:
2024-03-01 - 期刊:
- 影响因子:7
- 作者:
Yan Wang;Aixin Feng;Chen Li;Qiao Xu;Xue He;Yuying Du;Miao Gong - 通讯作者:
Miao Gong
Yan Wang的其他文献
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{{ truncateString('Yan Wang', 18)}}的其他基金
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- 批准号:
2316450 - 财政年份:2023
- 资助金额:
$ 15万 - 项目类别:
Standard Grant
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2311597 - 财政年份:2023
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$ 15万 - 项目类别:
Standard Grant
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2047109 - 财政年份:2021
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- 批准号:
2033424 - 财政年份:2021
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$ 15万 - 项目类别:
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Collaborative Research: CCRI: New: Nation-wide Community-based Mobile Edge Sensing and Computing Testbeds
合作研究:CCRI:新:全国范围内基于社区的移动边缘传感和计算测试平台
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2120276 - 财政年份:2021
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1953300 - 财政年份:2020
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2028012 - 财政年份:2020
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$ 15万 - 项目类别:
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2028858 - 财政年份:2020
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