Planning a Shared Autonomous Vehicle Mobility Pilot for Linking Affordable Housing and Jobs

规划共享自动驾驶汽车移动试点，以连接经济适用房和就业机会

• 批准号: 2042715
• 负责人: Levent Guvenc
• 金额: $ 4.97万
• 依托单位: Ohio State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-01-15 至 2022-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2042715&HistoricalAwards=false
• 关键词: Planning; Shared; Autonomous; Vehicle; Mobility

Low-mid income residents living in affordable housing areas of a city are often faced with problems in accessing jobs or other locations of opportunity due to limited mobility choices including the lack of a public transportation system. Since the underlying problem is usually the high and therefore unfeasible cost of operating public transportation or other similar mobility options, operation of a fleet of ride hailing and ride-sharing autonomous vehicles that can also be used for the delivery of food and supplies during a pandemic like the current Covid-19 outbreak is proposed as a feasible solution. This approach of deploying ride Shared Autonomous Vehicles (SAV) in a transit desert will give residents an on-demand, fast and affordable option of connecting to their job locations, allowing them to have faster and reliable access to work, services and amenities that are otherwise not so easily accessible in reasonable travel periods. The broader impact of this project is to benefit society and advance the desired societal outcome of improving access to jobs from low-mid income neighborhoods in a smart city. The team will be addressing these needs from both the technological perspective of SAVs as well as from the social science dimension of this technology can both work with the community and be shaped by it.This project brings together researchers from several disciplines with community partners to plan an affordable, innovative mobility solution that better connects residents to work, critical services, and amenities. The research pilot deployment that will be planned in this project is the use of SAVs in the City of Marysville, Ohio to give its residents a fast and affordable option of connecting to their job locations. The SAVs will be fully electric vehicles with an optimal routing algorithm that will reduce their trip time and energy footprint. The project team will identify demand locations corresponding to affordable housing in Marysville and destination locations corresponding to jobs, determine the geo-fenced area of SAV operation, plan integration with the existing transportation systems for increasing trip range, analyze existing traffic data, build an SAV operation simulation environment for the chosen geo-fenced area and use it to plan a research pilot deployment. The project team will also identify vendors and methods for operation of the pilot. The planning work of this Stage 1 planning project will be compiled into a Stage 2 proposal and will include the plan for the Stage 2 research pilot and how it will be evaluated for success. This project is funded in response to CIVIC Innovation Challenge Track A. Communities and Mobility: Offering Better Mobility Options to Solve the Spatial Mismatch Between Housing Affordability and Jobs which is a collaboration between NSF and Department of Energy Vehicle Technology Office.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.

由于缺乏公共交通系统等有限的交通选择，生活在城市经济适用房区的中低收入居民经常面临找工作或其他机会的问题。由于潜在的问题通常是运营公共交通或其他类似出行选择的高成本，因此不可行的，因此建议运营一个叫车和拼车的自动驾驶车队，这些车队也可以在像当前Covid-19疫情这样的大流行期间用于运送食品和物资。这种在交通沙漠中部署共享自动驾驶汽车（SAV）的方法将为居民提供一种按需、快速且经济实惠的选择，将他们连接到他们的工作地点，使他们能够更快、更可靠地访问工作、服务和设施，否则在合理的旅行时间内不太容易获得这些服务和设施。该项目的更广泛影响是造福社会，并推动改善智能城市中低收入社区就业机会的预期社会结果。该团队将从sav的技术角度以及从该技术既可以与社区合作又可以由社区塑造的社会科学维度来解决这些需求。该项目汇集了来自多个学科的研究人员和社区合作伙伴，共同规划一个经济实惠、创新的移动解决方案，更好地将居民与工作、关键服务和便利设施联系起来。该项目计划在俄亥俄州马里斯维尔市使用sav，为其居民提供一个快速且经济实惠的连接到工作地点的选择。sav将是全电动汽车，具有最佳路线算法，可以减少行驶时间和能源足迹。项目团队将确定Marysville经济适用房对应的需求位置和工作对应的目的地位置，确定SAV运行的地理围栏区域，计划与现有交通系统集成以增加行程范围，分析现有交通数据，为选定的地理围栏区域构建SAV运行模拟环境，并使用它来规划研究试点部署。项目团队还将确定试点的供应商和操作方法。第一阶段规划项目的规划工作将汇编成第二阶段的提案，其中将包括第二阶段研究试点的计划，以及如何评估该计划是否成功。该项目由美国国家科学基金会（NSF）和能源部汽车技术办公室合作开展，项目名为“城市创新挑战a：社区和机动性：提供更好的机动性选择，解决住房负担能力和工作之间的空间不匹配”。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。

项目成果

Assessing the Access to Jobs by Shared Autonomous Vehicles in Marysville, Ohio: Modeling, Simulating and Validating

评估俄亥俄州马里斯维尔共享自动驾驶汽车的就业机会：建模、模拟和验证

• DOI: 10.4271/2021-01-0163
• 发表时间: 2021
• 期刊: SAE Technical Paper Series
• 作者: Meneses Cime, Karina;Cantas, Mustafa Ridvan;Fernandez, Pedro;Aksun Guvenc, Bilin;Guvenc, Levent;Joshi, Adit;Fishelson, James;Mittal, Archak
• 通讯作者: Mittal, Archak