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.

美国城市正在见证一个电动汽车(EVS)、自动驾驶汽车、车载电子产品、全球定位系统、移动设备、数字地图以及许多辅助驾驶和停车的应用程序的变革性创新时代。然而，车辆运行的路缘环境的进步并没有跟上步伐。路缘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、货运、电动汽车充电、自行车和踏板车停车的空间竞争，城市核心地区的路缘环境负担沉重。这项NSF智能互联社区规划助学金研究的是佛罗里达州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、移动设备、物理和网络基础设施，以协调路缘空间的使用。总体而言，这些创新将最大限度地实现公平和便利的获取，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。该项目探索了美国各地城市面临的重要的、新出现的挑战。所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移动创新准备城市限制。该项目旨在了解城市社区限制空间的使用，并制定战略管理，以适应日益多样化和相互冲突的限制空间使用，以应对新兴的车辆技术和机动性创新。讨论了几个关键的跨学科研究问题，包括(I)来自路缘环境、车辆和人类移动设备的传感器数据如何由独立的交通和停车管理实体收集、管理和联合关联？(Ii)如何设计、规划和管理路缘环境，以共同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？(三)如何准确预测未来路缘用途的时空演变？(4)如何创造性地实时协调各种路缘用途？(V)在执行监视、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？该项目团队将在校园-市中心环境中从社会技术角度形成新的研究问题，发展学术和社区合作伙伴关系，拥有必要的知识来解决这些问题，并准备试验台“智能路缘”环境，以包括在未来的SCC-IRG提案中。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势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

Randomized Error Removal for Online Spread Estimation in High-Speed Networks

• DOI: 10.1109/tnet.2022.3197968
• 发表时间: 2023-04
• 期刊: IEEE/ACM Transactions on Networking
• 作者: Haibo Wang;Chaoyi Ma;Olufemi O. Odegbile;Shigang Chen;J. Peir