SCC-PG: SmartCurb: Building Smart Urban Curb Environments

SCC-PG：SmartCurb：构建智能城市路缘环境

• 批准号: 2124858
• 负责人: Yan Wang
• 金额: $ 15万
• 依托单位: University of Florida
• 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: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2124858&HistoricalAwards=false
• 关键词: SCC; PG; SmartCurb; Building; Smart

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、移动设备、数字地图以及众多辅助驾驶和停车的应用程序的革命性创新时代。然而，车辆运行的路缘环境的进步并没有跟上。路边环境是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、货物装载、电动汽车充电、自行车和摩托车停车的空间竞争，在城市核心地区，路边环境负担沉重。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市中心和佛罗里达大学（UF）校园社区的路边环境。它侧重于如何整合车辆、人员、移动设备、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接入，同时最大限度地减少温室气体排放，以实现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。该项目探讨了美国城市面临的重要的、新兴的挑战。学到的知识将与当地社区分享，他们将长期受益，为未来蓬勃发展的技术和交通创新做好城市控制准备。该项目旨在了解城市社区的遏制空间使用，并制定战略管理，以适应日益多样化和冲突的遏制空间使用，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中收集、整理传感器数据，并由单独的交通和停车管理实体共同关联？（ii）如何设计、规划和管理约束环境，以解决城市社区网络基础设施中的拥堵、安全和可达性问题？（三）如何准确预测未来路缘用途的时空演变？（iv）如何创造性地实时协调各种路沿用途？(v)在路边环境中进行监视、传感和数据分析时，对车辆和人员的潜在隐私问题是什么，以及如何设计创新技术以减轻隐私威胁？项目团队将从社会技术角度出发，在校园-市中心的背景下形成新的研究问题，利用必要的知识发展学术和社区伙伴关系，以解决这些问题，并准备测试“智能路缘”环境，以纳入未来的SCC-IRG提案。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。

项目成果

Enabling smart curb management with spatiotemporal deep learning

• DOI: 10.1016/j.compenvurbsys.2022.101914
• 发表时间: 2023-01
• 期刊: Comput. Environ. Urban Syst.
• 作者: Haiyan Hao;Yan Wang;Lili Du;S. Chen

Preparing Urban Curbside for Increasing Mobility-on-Demand Using Data-Driven Agent-Based Simulation: Case Study of City of Gainesville, Florida

• 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

Real-time Spread Burst Detection in Data Streaming

• DOI: 10.1145/3589979
• 发表时间: 2023-05
• 期刊: Proceedings of the ACM on Measurement and Analysis of Computing Systems
• 作者: Haibo Wang;Dimitrios Melissourgos;Chaoyi Ma;Shigang Chen

Robust and resilient equilibrium routing mechanism for traffic congestion mitigation built upon correlated equilibrium and distributed optimization

• DOI: 10.1016/j.trb.2022.12.006
• 发表时间: 2023-02
• 期刊: Transportation Research Part B: Methodological
• 作者: Yuqi Ning;Lili Du

Identifying critical transfer zones to coordinate transit with on-demand services using crowdsourced trajectory data

• DOI: 10.1080/15472450.2022.2132389
• 发表时间: 2022-11
• 期刊: Journal of Intelligent Transportation Systems
• 影响因子: 3.6
• 作者: Jiahua Qiu;Yue Jing;Wang Peng;L. Du;Yujie Hu