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

这项智能互联社区规划拨款（SCC-PG）将支持下一代交通规划模型的开发，该模型将整合移动服务提供商（如Uber和Lyft）和互联自动车辆技术。在过去十年中，虽然移动服务提供商显著改善了大都市地区的机动性和可达性，但他们也显著增加了交通拥堵和有害车辆排放。在移动服务中最终部署自动驾驶汽车可能会加剧这些社会效益和负面的社会后果。通过确定有效的交通政策，这项规划拨款将帮助社区利用与移动服务和互联自动驾驶汽车技术相关的好处，并避免（部分）负面后果。此外，规划拨款将支持自动驾驶汽车在公共道路上的部署，通过模型确定有利于社区的基础设施升级。本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、宜居性和机动性，以捕捉自动驾驶汽车和移动服务的潜在好处。为了实现这一目标，该项目将对基于多分辨率代理的区域交通系统建模工具进行原型化，这些工具对交通政策（如拥堵收费）和基础设施投资（如受保护的左转、车道分条）敏感，并明确捕捉移动服务提供商和互联自动车辆技术的行为和系统影响。该项目还将涉及原型优化模型，以支持主动的基础设施投资，最大限度地提高联网和自动驾驶汽车等新的移动/车辆技术的社区效益，而不是被动地升级基础设施。此外，项目的规划阶段包括：与社区合作伙伴密切合作，以确定他们的特定建模需求；组建最好的跨学科研究团队；并进一步完善方法方法。研究小组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实施基础设施升级的城市密切合作。该奖项反映了美国国家科学基金会的法定使命，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。

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.