CPS: Medium: Dynamic Pricing for Optimal Design of Sustainable Transportation Systems
CPS:中:可持续交通系统优化设计的动态定价
基本信息
- 批准号:1931980
- 负责人:
- 金额:$ 101.86万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-10-01 至 2023-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This project will study the use of pricing to influence behavior in human-in-the-loop cyber-physical systems with an emphasis on electric vehicle (EV) charging. In EV charging systems, humans (drivers) interact with both cyber infrastructure, in the form of apps that provide information about location and other characteristics of charging infrastructure, and with physical infrastructure, in the form of EVs and their charging infrastructure. Given that EV charging can take hours, EV charging infrastructure often serves two purposes whose relative importance shifts dynamically depending on context: fueling the vehicle and providing a parking spot. Dynamic pricing tools communicated through apps are capable of influencing driver behavior to achieve desirable outcomes in both purposes. The results of the project will be tested using the Georgia Tech EV charging system as a testbed. The proposed combination of theoretical and empirical work on dynamic pricing tools for behavioral influence is highly translatable to other systems where prices can be directly communicated to consumers. Price-mediated EV driver behavior is highly societally relevant, with major ramifications for the sustainability of the long-term transportation system. The electric vehicle revolution will inextricably intertwine transportation infrastructure and energy infrastructure in new and significant ways that will alter how people consume electricity and how people move around. New interdependencies caused by the electrification of the transportation system will induce additional strain and will likely expose new vulnerabilities that dynamic pricing-based behavioral nudges could help mitigate.The project consists of three major parallel activities that focus on characterizing the potential for dynamic pricing to influence behavior in the EV charging cyber-physical system. Task 1 includes large-scale observational studies using an extensive, high-resolution database of electric vehicle charging transactions across the US from a popular mobile platform in order to understand how electric vehicle users respond to price. Task 2 will evaluate the system-scale environmental implications of EV charging at various scales and with multiple technological scenarios, using life cycle assessment to consider environmental dynamics among vehicles, parking, and charging infrastructure. Task 3 will develop foundational dynamic pricing frameworks, to be refined by leveraging analyses of behavior and environmental impact from Tasks 1 and 2 to design dynamic pricing structures in order to achieve various engineering objectives emphasizing cost, social, and environmental sustainability in transportation. Our final task, Task 4, leverages an actual EV charging platform at Georgia Tech to implement and test results from Tasks 1 through 3. The main mechanism to enable the Georgia Tech campus as a living laboratory will be a collaboration with the Georgia Tech Parking and Transportation Services, which manages 22 Level 2 EV chargers across campusThis 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.
这个项目将研究使用定价来影响人在环路的网络物理系统中的行为,重点是电动汽车(EV)充电。在电动汽车充电系统中,人类(司机)与网络基础设施(以应用程序的形式提供有关充电基础设施的位置和其他特征的信息)和物理基础设施(以电动汽车及其充电基础设施的形式)进行互动。鉴于电动汽车充电可能需要几个小时,电动汽车充电基础设施通常有两个目的,其相对重要性根据背景动态变化:为车辆加油和提供停车位。通过应用程序传达的动态定价工具能够影响司机的行为,以实现这两个目的的理想结果。该项目的结果将使用佐治亚理工学院电动汽车充电系统作为试验台进行测试。所提出的关于行为影响的动态定价工具的理论和经验工作的结合,对于价格可以直接传达给消费者的其他系统具有很高的可译性。价格中介的电动汽车司机行为具有高度的社会相关性,对长期交通系统的可持续性具有重大影响。电动汽车革命将以新的、重大的方式将交通基础设施和能源基础设施不可避免地交织在一起,改变人们消费电力的方式和出行方式。运输系统电气化造成的新的相互依赖将导致额外的压力,并可能暴露基于动态定价的行为推送可能有助于缓解的新漏洞。该项目由三个主要并行活动组成,重点是表征动态定价影响电动汽车充电网络物理系统中行为的可能性。任务1包括使用一个广泛的、高分辨率的数据库,从一个流行的移动平台上收集全美电动汽车充电交易的数据,进行大规模的观察性研究,以了解电动汽车用户对价格的反应。任务2将在不同规模和多种技术场景下评估电动汽车充电对系统规模的环境影响,使用生命周期评估来考虑车辆、停车和充电基础设施之间的环境动态。任务3将制定基本的动态定价框架,通过利用任务1和任务2的行为和环境影响分析来设计动态定价结构,以实现强调运输成本、社会和环境可持续性的各种工程目标。我们的最后一项任务,任务4,利用佐治亚理工学院的实际电动汽车充电平台来实施和测试任务1到3的结果。佐治亚理工学院校园作为一个活实验室的主要机制将是与佐治亚理工学院停车和运输服务部门的合作,后者管理着校园内的22个2级电动汽车充电器。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
期刊论文数量(22)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Reliability of electric vehicle charging infrastructure: A cross-lingual deep learning approach
- DOI:10.1016/j.commtr.2023.100095
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Yifan Liu;Azell Francis;Catharina Hollauer;M. Lawson;Omar Shaikh;Ashley Cotsman;Khushi Bhardwaj;Aline Banboukian;Mimi Li;Anne Webb;O. Asensio
- 通讯作者:Yifan Liu;Azell Francis;Catharina Hollauer;M. Lawson;Omar Shaikh;Ashley Cotsman;Khushi Bhardwaj;Aline Banboukian;Mimi Li;Anne Webb;O. Asensio
Resource Aware Pricing for Electric Vehicle Charging
- DOI:10.1016/j.automatica.2022.110733
- 发表时间:2020-09
- 期刊:
- 影响因子:0
- 作者:Cesar Santoyo;Gustav Nilsson;S. Coogan
- 通讯作者:Cesar Santoyo;Gustav Nilsson;S. Coogan
Resilience of Input Metering in Dynamic Flow Networks
动态流网络中输入计量的弹性
- DOI:
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Jafarpour, Saber;Coogan, Samuel
- 通讯作者:Coogan, Samuel
Emissions projections for US utilities through 2050
到 2050 年美国公用事业的排放预测
- DOI:10.1088/1748-9326/ac1628
- 发表时间:2021
- 期刊:
- 影响因子:6.7
- 作者:Grubert, Emily
- 通讯作者:Grubert, Emily
Detecting Behavioral Failures in Emerging Electric Vehicle Infrastructure Using Supervised Text Classification Algorithms
使用监督文本分类算法检测新兴电动汽车基础设施中的行为故障
- DOI:
- 发表时间:2020
- 期刊:
- 影响因子:0
- 作者:Ha, Sooji;Marchetto, Daniel;Burke, Mary Elizabeth;Asensio, Omar Isaac
- 通讯作者:Asensio, Omar Isaac
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Emily Grubert其他文献
Reply to ‘A commentary on “US power sector carbon capture and storage under the Inflation Reduction Act could be costly with limited or negative abatement potential”’
回复“关于“美国电力部门根据《通货膨胀减少法案》碳捕获和储存可能成本高昂,且减排潜力有限或为负”的评论”
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Emily Grubert;Frances Sawyer - 通讯作者:
Frances Sawyer
Water consumption in absorption chillers is not negligible: Water-for-cooling consumption of chiller systems for commercial buildings in the United States
吸收式制冷机的耗水量不容忽视:美国商业建筑制冷机系统的冷却用水量
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:8
- 作者:
Osvaldo A. Broesicke;Valerie M. Thomas;Emily Grubert;John C. Crittenden - 通讯作者:
John C. Crittenden
Neighborhood-scale air quality, public health, and equity implications of multi-modal vehicle electrification
多模式车辆电气化对社区范围的空气质量、公共卫生和公平影响
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Maxime A Visa;Sara F Camilleri;Anastasia Montgomery;Jordan Schnell;Mark Janssen;Zachariah E. Adelman;S. Anenberg;Emily Grubert;Daniel E. Horton - 通讯作者:
Daniel E. Horton
Highly energy efficient housing can reduce peak load and increase safety under beneficial electrification
高能效住房可以减少峰值负荷并提高电气化条件下的安全性
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:6.7
- 作者:
Alexandra Maxim;Emily Grubert - 通讯作者:
Emily Grubert
Emily Grubert的其他文献
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