SCC-PG: Addressing Unprecedented Community-Centered Transportation Infrastructure Needs and Policies for the Mobility Revolution

SCC-PG：解决前所未有的以社区为中心的交通基础设施需求和移动革命政策

• 批准号: 1952241
• 负责人: Michael Hyland
• 金额: $ 15万
• 依托单位: University of California-Irvine
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-01 至 2021-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1952241&HistoricalAwards=false
• 关键词: SCC; PG; Addressing; Unprecedented; Community

This Smart and Connected Communities Planning Grant (SCC-PG) will support the development of next-generation transportation planning models that incorporate mobility service providers (e.g. Uber and Lyft) and connected automated vehicle technology. While mobility service providers have significantly improved mobility and accessibility in metropolitan regions over the last ten years, they have also significantly increased traffic congestion and harmful vehicle emissions. The eventual deployment of automated vehicles within mobility services is likely to exacerbate these societal benefits and negative societal outcomes. Through identifying effective transportation policies, this planning grant will help communities harness the benefits and avoid (some of) the negative outcomes associated with mobility services and connected automated vehicle technology. Moreover, the planning grant will support the deployment of automated vehicles on public roadways through models that identify infrastructure upgrades that benefit the community.The overarching goal of this research is to improve sustainability, livability, and mobility throughout entire metropolitan regions via supporting transport planning, specifically infrastructure upgrades and transport policies, to capture the potential benefits of automated vehicles and mobility services. To meet this goal, the project will prototype multi-resolution agent-based regional transport system modeling tools that are sensitive to transport policies (e.g. congestion pricing) and infrastructure investments (e.g. protected left-turns, lane striping) and also explicitly capture the behavior and system impacts of mobility service providers and connected automated vehicle technology. The project will also involve prototyping optimization models to support proactive infrastructure investments that maximize the community benefits of new mobility/vehicle technologies such as connected and automated vehicles, rather than reactively upgrading infrastructure. Additionally, the planning phase of the project involves: working closely with community partners to identify their specific modeling needs; forming the best team of interdisciplinary researchers; and further refining the methodological approach. The research team will work closely with its main community stakeholder, the San Diego Association of Governments, other regional planning agencies, and cities who will implement infrastructure upgrades.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.

智能互联社区规划补助金（SCC-PG）将支持下一代交通规划模型的开发，该模型将结合移动服务提供商（例如Uber和Lyft）和互联自动驾驶汽车技术。虽然移动服务提供商在过去十年中显著改善了大都市地区的移动性和可达性，但它们也显著增加了交通拥堵和有害车辆排放。自动驾驶汽车在移动服务中的最终部署可能会加剧这些社会效益和负面社会后果。通过确定有效的交通政策，这项规划拨款将帮助社区利用这些好处，避免与移动服务和互联自动驾驶汽车技术相关的（一些）负面结果。此外，规划补助金将通过识别有利于社区的基础设施升级的模型，支持自动驾驶汽车在公共道路上的部署。这项研究的总体目标是通过支持交通规划，特别是基础设施升级和交通政策，提高整个大都市地区的可持续性，宜居性和流动性，以获取自动驾驶汽车和移动服务的潜在利益。为了实现这一目标，该项目将原型化基于多分辨率代理的区域交通系统建模工具，这些工具对交通政策（例如拥堵定价）和基础设施投资（例如受保护的左转，车道划线）敏感，并明确捕获移动服务提供商和联网自动驾驶汽车技术的行为和系统影响。该项目还将涉及原型优化模型，以支持积极的基础设施投资，最大限度地提高新的移动/车辆技术（如互联和自动驾驶车辆）的社区效益，而不是被动地升级基础设施。此外，该项目的规划阶段包括：与社区合作伙伴密切合作，以确定他们的具体建模需求;组建最好的跨学科研究人员团队;并进一步完善方法。该研究团队将与其主要的社区利益相关者、圣地亚哥政府协会、其他区域规划机构和将实施基础设施升级的城市密切合作。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

On Time-Dependent Trip Distance Distribution with For-Hire Vehicle Trips in Chicago

芝加哥出租车出行的时间相关出行距离分布

• DOI: 10.1177/03611981211021552
• 发表时间: 2021
• 期刊: Transportation Research Record: Journal of the Transportation Research Board
• 作者: Martínez, Irene;Jin, Wen-Long
• 通讯作者: Jin, Wen-Long

Compartmental model and fleet-size management for shared mobility systems with for-hire vehicles

出租车辆共享移动系统的车厢模型和车队规模管理

• DOI: 10.1016/j.trc.2021.103236
• 发表时间: 2021
• 期刊: Transportation Research Part C: Emerging Technologies
• 作者: Jin, Wen-Long;Martinez, Irene;Menendez, Monica
• 通讯作者: Menendez, Monica