CAREER: Modeling and Estimation Methods for Complex Traffic
职业:复杂交通的建模和估计方法
基本信息
- 批准号:1853913
- 负责人:
- 金额:$ 14.65万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-03-19 至 2020-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The objective of this Faculty Early Career Development (CAREER) program award is to investigate the dynamics of complex traffic. Complex traffic is characterized by heterogeneous vehicle types (e.g. bikes and cars) that vary in size and performance characteristics but share the same infrastructure, and is often controlled by humans. These features are increasingly common in the US during extreme congestion generated by special events, and are pervasive in emerging economies worldwide. This research postulates that advances in mathematical models, informed by and validated with large volumes of traffic data, are key elements to unlock the full understanding of complex traffic. This research focuses on (i) the development of mathematical models of heterogeneous traffic, (ii) modeling and analysis of human-directed traffic and (iii) the development of fast and accurate estimation algorithms to integrate data into city-scale models. Data to validate the models and estimation algorithms are obtained through a newly developed traffic sensing technology.If successful, this work will support the development of next generation traffic monitoring and management systems. Ultimately, this will help reduce the multibillion-dollar annual cost of congestion during special events in the US. Educational and outreach activities are executed to prepare students with the computing competencies needed to engineer the next generation of computer enhanced infrastructure. This is achieved through new educational initiatives for undergraduate and graduate students that emphasize programming and computational skills applied to problems in civil engineering. Reproducible computational research initiatives within the transportation community will help maximize the potential impact of the research and increase likelihood of adoption by practitioners. Engagement of the broader community on applications of computing in transportation is achieved through outreach and open courseware activities.
这个教师早期职业发展(CAREER)计划奖的目的是调查复杂交通的动态。复杂交通的特征在于不同的车辆类型(例如自行车和汽车),这些车辆在尺寸和性能特征上不同,但共享相同的基础设施,并且通常由人类控制。这些特征在美国因特殊事件而产生的极端拥堵中越来越常见,并且在全球新兴经济体中普遍存在。这项研究假设,数学模型的进步,通过大量的交通数据提供信息和验证,是解开复杂交通的全面理解的关键因素。本研究的重点是(一)异构交通的数学模型的发展,(二)人为导向的交通建模和分析,(三)快速,准确的估计算法的发展,将数据集成到城市规模的模型。通过一种新开发的交通传感技术获得数据来验证模型和估计算法。如果成功,这项工作将支持下一代交通监控和管理系统的开发。最终,这将有助于减少美国特殊活动期间每年数十亿美元的拥堵成本。开展教育和推广活动,使学生具备设计下一代计算机增强型基础设施所需的计算能力。这是通过为本科生和研究生提供新的教育计划来实现的,这些计划强调应用于土木工程问题的编程和计算技能。在交通运输领域内可重复的计算研究计划将有助于最大限度地发挥研究的潜在影响,并增加从业人员采用的可能性。通过外联和开放式课件活动,使更广泛的社区参与计算在交通运输中的应用。
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 }}
Daniel Work其他文献
Libpanda Apps: Managing the Deployment and Reuse of a Cyber-Physical System
Libpanda 应用程序:管理网络物理系统的部署和重用
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Matt Bunting;Matthew Nice;Alex A. Richardson;Jonathan Sprinkle;Daniel Work - 通讯作者:
Daniel Work
Daniel Work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 }}
{{ truncateString('Daniel Work', 18)}}的其他基金
PFI-TT: Local Sensing on Automated Vehicles
PFI-TT:自动驾驶车辆的本地传感
- 批准号:
2329820 - 财政年份:2024
- 资助金额:
$ 14.65万 - 项目类别:
Continuing Grant
CPS: TTP Option: Medium: Coordinating Actors via Learning for Lagrangian Systems (CALLS)
CPS:TTP 选项:中:通过拉格朗日系统学习协调参与者 (CALLS)
- 批准号:
2135579 - 财政年份:2022
- 资助金额:
$ 14.65万 - 项目类别:
Standard Grant
Workshop on Control for Networked Transportation Systems, To Be Held At The American Control Conference, July 8-9, 2019, in Philadelphia, PA.
网络运输系统控制研讨会将于 2019 年 7 月 8 日至 9 日在宾夕法尼亚州费城举行的美国控制会议上举行。
- 批准号:
1932711 - 财政年份:2019
- 资助金额:
$ 14.65万 - 项目类别:
Standard Grant
CPS: TTP Option: Medium: Collaborative Research: Smoothing Traffic via Energy-efficient Autonomous Driving (STEAD)
CPS:TTP 选项:中:协作研究:通过节能自动驾驶 (STEAD) 平滑交通
- 批准号:
1837652 - 财政年份:2019
- 资助金额:
$ 14.65万 - 项目类别:
Standard Grant
CPS: Synergy: Collaborative Research: Control of Vehicular Traffic Flow via Low Density Autonomous Vehicles
CPS:协同:协作研究:通过低密度自动驾驶车辆控制车流
- 批准号:
1854321 - 财政年份:2018
- 资助金额:
$ 14.65万 - 项目类别:
Standard Grant
CPS: Synergy: Collaborative Research: Control of Vehicular Traffic Flow via Low Density Autonomous Vehicles
CPS:协同:协作研究:通过低密度自动驾驶车辆控制车流
- 批准号:
1446702 - 财政年份:2015
- 资助金额:
$ 14.65万 - 项目类别:
Standard Grant
CAREER: Modeling and Estimation Methods for Complex Traffic
职业:复杂交通的建模和估计方法
- 批准号:
1351717 - 财政年份:2014
- 资助金额:
$ 14.65万 - 项目类别:
Standard Grant
RAPID: Monitoring the Response of Transportation Cyber Physical Systems in the Wake of Hurricane Sandy
RAPID:监测飓风桑迪后交通网络物理系统的响应
- 批准号:
1308842 - 财政年份:2013
- 资助金额:
$ 14.65万 - 项目类别:
Standard Grant
相似国自然基金
Galaxy Analytical Modeling
Evolution (GAME) and cosmological
hydrodynamic simulations.
- 批准号:
- 批准年份:2025
- 资助金额:10.0 万元
- 项目类别:省市级项目
相似海外基金
CAREER: A Multi-dimensional Study of Electromagnetic Interference in Wide Bandgap Power Electronics: Modeling, Estimation, and Mitigation
职业:宽带隙电力电子中电磁干扰的多维研究:建模、估计和缓解
- 批准号:
2236846 - 财政年份:2023
- 资助金额:
$ 14.65万 - 项目类别:
Continuing Grant
NSF-AoF: Collaborative Research: CIF: Small: 6G Wireless Communications via Enhanced Channel Modeling and Estimation, Channel Morphing and Machine Learning for mmWave Bands
NSF-AoF:协作研究:CIF:小型:通过增强型毫米波信道建模和估计、信道变形和机器学习实现 6G 无线通信
- 批准号:
2225617 - 财政年份:2022
- 资助金额:
$ 14.65万 - 项目类别:
Standard Grant
Pretest and shrinkage estimation methods for joint modeling of linear mixed models and the AFT model
线性混合模型和AFT模型联合建模的预测试和收缩估计方法
- 批准号:
573853-2022 - 财政年份:2022
- 资助金额:
$ 14.65万 - 项目类别:
University Undergraduate Student Research Awards
Efficient estimation in a novel hybrid model combining deep learning and joint modeling of longitudinal and time-to-event analysis for multimodal health data
结合深度学习和多模态健康数据纵向和事件时间分析联合建模的新型混合模型的有效估计
- 批准号:
559863-2021 - 财政年份:2022
- 资助金额:
$ 14.65万 - 项目类别:
Alexander Graham Bell Canada Graduate Scholarships - Doctoral
Dependence Modeling in Insurance and Finance: Estimation, Ratemaking and Reserving
保险和金融中的依赖模型:估计、费率制定和准备金
- 批准号:
RGPIN-2021-04144 - 财政年份:2022
- 资助金额:
$ 14.65万 - 项目类别:
Discovery Grants Program - Individual
CAREER: Enabling Human-Aware and Responsive Automation through Cognitive State Modeling and Estimation
职业:通过认知状态建模和估计实现人类感知和响应式自动化
- 批准号:
2145827 - 财政年份:2022
- 资助金额:
$ 14.65万 - 项目类别:
Standard Grant
DMS/NIGMS 1: Statistical modeling and estimation of cellular population dynamics
DMS/NIGMS 1:细胞群体动态的统计建模和估计
- 批准号:
10378318 - 财政年份:2021
- 资助金额:
$ 14.65万 - 项目类别:
DMS/NIGMS 1: Statistical modeling and estimation of cellular population dynamics
DMS/NIGMS 1:细胞群体动态的统计建模和估计
- 批准号:
10698147 - 财政年份:2021
- 资助金额:
$ 14.65万 - 项目类别:
RAPID: Sentinel-1 and ALOS-2 InSAR interferograms to support community modeling, mapping, and estimation of hazards from strike-slip and thrust fault interactions in Haiti.
RAPID:Sentinel-1 和 ALOS-2 InSAR 干涉图支持对海地走滑和逆冲断层相互作用造成的危害进行群落建模、测绘和估计。
- 批准号:
2150704 - 财政年份:2021
- 资助金额:
$ 14.65万 - 项目类别:
Standard Grant
Dependence Modeling in Insurance and Finance: Estimation, Ratemaking and Reserving
保险和金融中的依赖模型:估计、费率制定和准备金
- 批准号:
RGPIN-2021-04144 - 财政年份:2021
- 资助金额:
$ 14.65万 - 项目类别:
Discovery Grants Program - Individual