SBIR Phase II: Information fusion-driven adaptive corridor-wide traffic signal re-timing
SBIR第二阶段:信息融合驱动的自适应走廊交通信号重新定时
基本信息
- 批准号:2052257
- 负责人:
- 金额:$ 96.38万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Cooperative Agreement
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-09-01 至 2024-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The broader impact of this Small Business Innovation Research (SBIR) Phase II project focuses on an adaptive traffic signal timing solution. Cities and municipalities worldwide spend over $4 billion annually to retime traffic signals and yet often fail to adequately reduce congestion on roadways. The consequences of mistimed traffic signal timing are: a) increasing productivity losses due to congestion with the average American spending 97 hours stuck in traffic every year, b) increasing accidents due to traffic, with one fatality every 15 minutes on US roads, and c) increasing greenhouse emissions with a third of all emissions caused by vehicles on the roads. This project will support the development and commercialization of a web-based technology to support traffic managers in cities and municipalities to better manage traffic using artificial intelligence (AI) and big data analytics. In addition to improving traffic flow and reducing congestion, the system will also significantly reduce harmful emissions, leading to more environmentally friendly city streets. The serviceable markets for this technology in the US and Europe, which together constitute 60% of the global signal-timing market, represent a $2.4 billion opportunity. This Small Business Innovation Research Phase II project seeks to develop a proof-of-concept for a fully adaptive traffic signal retiming solution that can robustly handle multiple signal corridors for commercialization. The key intellectual merit of this effort will be developing deep learning models that can run at scale and handle sensor noise robustly. The reinforcement learning process will help the system to adapt to changing traffic scenarios at different scales without the need for manual interventions. Research objectives that must be overcome in Phase II are focused on: 1) scaling the solution; 2) making the solution robust; and 3) ensuring that the system is user ready. Achieving these objectives may help ensure the product can successfully run on big-data architecture economically deployed on the cloud. The solution will also provide a deeper understanding of human-machine interaction. Overall, the proposed system may reduce implementation time as well as capital and maintenance expenditures for signal timing systems. These advantages will encourage cities around the US and internationally to adopt such signal timing strategies.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.
该小型企业创新研究(SBIR)第二阶段项目的更广泛影响集中在自适应交通信号配时解决方案上。世界各地的城市和市政当局每年花费超过40亿美元来重新调整交通信号,但往往无法充分减少道路拥堵。交通信号配时不当的后果是:a)由于拥堵而增加的生产力损失,美国人平均每年在交通中花费97小时,B)由于交通而增加的事故,在美国道路上每15分钟就有一人死亡,以及c)增加温室气体排放,道路上的车辆造成的所有排放量的三分之一。该项目将支持基于网络的技术的开发和商业化,以支持城市和市政当局的交通管理人员使用人工智能(AI)和大数据分析更好地管理交通。除了改善交通流量和减少拥堵外,该系统还将大大减少有害排放,从而使城市街道更加环保。美国和欧洲的这项技术的可服务市场占全球信号定时市场的60%,代表了24亿美元的机会。 该小型企业创新研究第二阶段项目旨在为完全自适应的交通信号重新定时解决方案开发概念验证,该解决方案可以稳健地处理多个信号走廊以实现商业化。这项工作的关键智力价值将是开发可以大规模运行并鲁棒地处理传感器噪声的深度学习模型。强化学习过程将帮助系统适应不同规模的不断变化的交通场景,而无需人工干预。第二阶段必须克服的研究目标集中在:1)扩展解决方案; 2)使解决方案健壮; 3)确保系统为用户准备好。实现这些目标可能有助于确保产品能够成功地在云上经济地部署的大数据架构上运行。 该解决方案还将提供对人机交互的更深入了解。总的来说,所提出的系统可以减少信号定时系统的实施时间以及资本和维护支出。这些优势将鼓励美国和国际上的城市采用这种信号配时策略。该奖项反映了NSF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
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Tingting Huang其他文献
Perylene-Based Linear Nonalternant Nanoribbons with Bright Emission and Ambipolar Redox Behavior.
具有明亮发射和双极性氧化还原行为的基于苝的线性非交替纳米带。
- DOI:
10.1002/anie.202200855 - 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Yanpei Wang;Yulin Huang;Tingting Huang;Jun Zhang;Teng Luo;Y. Ni;Bo Li;Sheng Xie;Z. Zeng - 通讯作者:
Z. Zeng
Uniformly distributed and in situ iron–nitrogen co-doped porous carbon derived from pork liver for rapid and simultaneous detection of dopamine, uric acid, and paracetamol in human blood serum
均匀分布的原位铁氮共掺杂猪肝多孔碳,用于快速同时检测人血清中的多巴胺、尿酸和扑热息痛
- DOI:
10.1039/c6nj03145e - 发表时间:
2017-02 - 期刊:
- 影响因子:3.3
- 作者:
Haifeng Zhou;Chen Jie;Tingting Huang;Dejian Chen;Yijin Wu;Fengying Zheng;Huiwu Yu;Shunxing Li - 通讯作者:
Shunxing Li
Laser cleaning of steel structure surface for paint removal and repaint adhesion
钢结构表面激光清洗除漆及重漆附着力
- DOI:
10.3969/j.issn.1003-501x.2017.03.009 - 发表时间:
2017-03 - 期刊:
- 影响因子:0
- 作者:
Xiaoguang Li;Tingting Huang;Ang Wei Chong;Rui Zhou;Yoo Sang Choo;Minghui Hong - 通讯作者:
Minghui Hong
How to active ethanolamine for selective hydrogenation by imidazolium-based cation and conjugated π bond
如何通过咪唑基阳离子和共轭α键活化乙醇胺进行选择性加氢
- DOI:
10.1016/j.mcat.2022.112809 - 发表时间:
2023-01 - 期刊:
- 影响因子:4.6
- 作者:
Zichen Zhang;Donglin Yang;Jiaqiang Wang;Chaoting Deng;Hengjun Gai;Meng Xiao;Tingting Huang;Quanhong Zhu;Hongbing Song - 通讯作者:
Hongbing Song
Tuning the nitrogen contents in carbon matrix encapsulating Co nanoparticles for promoting formaldehyde removal through Mott-Schottky effect
调节碳基质封装钴纳米颗粒中的氮含量,通过莫特肖特基效应促进甲醛去除
- DOI:
10.1016/j.apsusc.2022.152552 - 发表时间:
2022-01 - 期刊:
- 影响因子:6.7
- 作者:
D;an Zhu;Meijuan Chen;Yu Huang;Rong Li;Tingting Huang;Jun-ji Cao;Zhenxing Shen;Shun Cheng Lee - 通讯作者:
Shun Cheng Lee
Tingting Huang的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
相似国自然基金
Baryogenesis, Dark Matter and Nanohertz Gravitational Waves from a Dark
Supercooled Phase Transition
- 批准号:24ZR1429700
- 批准年份:2024
- 资助金额:0.0 万元
- 项目类别:省市级项目
ATLAS实验探测器Phase 2升级
- 批准号:11961141014
- 批准年份:2019
- 资助金额:3350 万元
- 项目类别:国际(地区)合作与交流项目
地幔含水相Phase E的温度压力稳定区域与晶体结构研究
- 批准号:41802035
- 批准年份:2018
- 资助金额:12.0 万元
- 项目类别:青年科学基金项目
基于数字增强干涉的Phase-OTDR高灵敏度定量测量技术研究
- 批准号:61675216
- 批准年份:2016
- 资助金额:60.0 万元
- 项目类别:面上项目
基于Phase-type分布的多状态系统可靠性模型研究
- 批准号:71501183
- 批准年份:2015
- 资助金额:17.4 万元
- 项目类别:青年科学基金项目
纳米(I-Phase+α-Mg)准共晶的临界半固态形成条件及生长机制
- 批准号:51201142
- 批准年份:2012
- 资助金额:25.0 万元
- 项目类别:青年科学基金项目
连续Phase-Type分布数据拟合方法及其应用研究
- 批准号:11101428
- 批准年份:2011
- 资助金额:23.0 万元
- 项目类别:青年科学基金项目
D-Phase准晶体的电子行为各向异性的研究
- 批准号:19374069
- 批准年份:1993
- 资助金额:6.4 万元
- 项目类别:面上项目
相似海外基金
SBIR Phase II: Innovative Two-Phase Cooling with Micro Closed Loop Pulsating Heat Pipes for High Power Density Electronics
SBIR 第二阶段:用于高功率密度电子产品的创新两相冷却微闭环脉动热管
- 批准号:
2321862 - 财政年份:2024
- 资助金额:
$ 96.38万 - 项目类别:
Cooperative Agreement
SBIR Phase II: Innovative Glass Inspection for Advanced Semiconductor Packaging
SBIR 第二阶段:先进半导体封装的创新玻璃检测
- 批准号:
2335175 - 财政年份:2024
- 资助金额:
$ 96.38万 - 项目类别:
Cooperative Agreement
SBIR Phase II: Intelligent Language Learning Environment
SBIR第二阶段:智能语言学习环境
- 批准号:
2335265 - 财政年份:2024
- 资助金额:
$ 96.38万 - 项目类别:
Cooperative Agreement
SBIR Phase II: FlashPCB Service Commercialization and AI Component Package Identification
SBIR第二阶段:FlashPCB服务商业化和AI组件封装识别
- 批准号:
2335464 - 财政年份:2024
- 资助金额:
$ 96.38万 - 项目类别:
Cooperative Agreement
SBIR Phase II: Thermally-optimized power amplifiers for next-generation telecommunication and radar
SBIR 第二阶段:用于下一代电信和雷达的热优化功率放大器
- 批准号:
2335504 - 财政年份:2024
- 资助金额:
$ 96.38万 - 项目类别:
Cooperative Agreement
SBIR Phase II: Sodium-Based Solid-State Batteries for Stationary Energy Storage
SBIR第二阶段:用于固定储能的钠基固态电池
- 批准号:
2331724 - 财政年份:2024
- 资助金额:
$ 96.38万 - 项目类别:
Cooperative Agreement
SBIR Phase II: A mesh-free, sling-free, minimally invasive treatment for stress urinary incontinence in women
SBIR II 期:无网、无吊带的微创治疗女性压力性尿失禁
- 批准号:
2233106 - 财政年份:2024
- 资助金额:
$ 96.38万 - 项目类别:
Cooperative Agreement
SBIR Phase II: Zero Trust Solution for Precision Medicine and Precision Health Data Exchanges
SBIR 第二阶段:精准医疗和精准健康数据交换的零信任解决方案
- 批准号:
2226026 - 财政年份:2024
- 资助金额:
$ 96.38万 - 项目类别:
Cooperative Agreement
SBIR Phase II: High-Performance Batteries to Decarbonize Heavy Duty Construction Equipment
SBIR 第二阶段:高性能电池使重型建筑设备脱碳
- 批准号:
2335320 - 财政年份:2024
- 资助金额:
$ 96.38万 - 项目类别:
Cooperative Agreement
SBIR Phase II: Technology for Stimulating the Herd Instinct of Livestock to Reduce Environmental Impact
SBIR第二阶段:刺激牲畜的群体本能以减少环境影响的技术
- 批准号:
2335554 - 财政年份:2024
- 资助金额:
$ 96.38万 - 项目类别:
Cooperative Agreement