IRES Track 1: International Research Experiences for Students in AI-Enabled Decision Analytics for Advancing Air Taxi and Drone Operations

IRES Track 1：学生在人工智能决策分析方面的国际研究经验，以推进空中出租车和无人机运营

• 批准号: 2245469
• 负责人: Suchithra Rajendran
• 金额: $ 30万
• 依托单位: University of Missouri-Columbia
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-04-01 至 2026-03-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2245469&HistoricalAwards=false
• 关键词: IRES; Track; International; Research; Experiences; IRES; Track; International; Research; Experiences

Traffic congestion not only leads to accidents, stress, and vehicle operating cost but is also a major cause of climate change, air pollution, a loss in economic output, jobs, and revenues for businesses across different sectors. In an attempt to achieve a cost-efficient, sustainable and faster transportation alternative, several companies are in the process of exploring beyond ground transportation and leveraging the aviation industry using advanced air mobility (AAM) technologies. Therefore, it is necessary to train students in AAM design and operations in order to prepare the future scientific workforce for effectively handling next-generation transportation systems. AAM services are not only gaining popularity in the US but also worldwide. Specifically, since India is the second most populous country in the world, extensive state-of-the-art research is being conducted in India to alleviate traffic congestion using emerging technologies. Hence, the goal of this proposal is to develop an IRES site with US-India partnership to provide U.S. undergraduate students (particularly URM, women, and first-generation students) with cross-cultural training on the development and application of AI-enabled analytic methods (e.g., machine learning, optimization, simulation) to AAM operations. The international research as well as industry exposure acquired by the IRES participants will enhance their professional development, multidisciplinary communication skills, and ability to conceptualize research questions based on their interaction with a company’s R&D team.This IRES program will instigate U.S. students’ research interest in transformative, state-of-the-art research projects, such as (i) establishing air taxi and drone hubs in urban areas using unsupervised machine learning methods, (ii) allocation of AAM vehicles to customers using simulation-based optimization models, (iii) environmentally aware hybrid truck-drone-robot technology for last-mile delivery operations. The projects discussed in this proposal will enable the development of digital three-dimensional airspace technologies for next-generation transportation and logistics operations.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.

交通拥堵不仅会导致事故，压力和车辆的运营成本，而且是气候变化，空气污染，经济产出损失，就业机会以及对不同部门企业的揭露的主要原因。为了实现一种经济高效，可持续和更快的运输替代方案，几家公司正在使用先进的空中移动性（AAM）技术来探索地面运输和利用航空业。因此，有必要在AAM设计和运营中培训学生，以便为未来的科学劳动力做好准备，以有效地处理下一代运输系统。 AAM服务不仅在美国广受欢迎，而且在全球范围内也越来越受欢迎。具体来说，由于印度是世界上第二大人口的国家，因此正在印度进行广泛的最新研究，以减轻使用新兴技术的交通拥堵。因此，该提案的目的是与US-India合作伙伴关系开发IRES网站，以向美国本科生（部分URM，妇女和第一代学生）提供有关AI-Enalysic方法（例如，机器学习，优化，模拟，模拟）的跨文化培训，以提供跨文化培训。国税局参与者获得的国际研究以及行业敞口将增强其专业发展，多学科的沟通能力以及基于与公司的研发团队的互动来概念化研究问题的能力。该IRES计划将启发美国学生对变革性，最先进的研究项目的研究兴趣，例如建立空中税务和DRONE ADAX II），以建立Air Taxi和Drone tarne II），以实现Air tavi in II）。使用基于模拟的优化模型向客户的车辆，（iii）上一英里交付操作的环境意识到的混合型卡车无线电机技术。本提案中讨论的项目将使数字三维空域技术用于下一代运输和物流运营。该奖项反映了NSF的法定任务，并通过使用该基金会的知识分子和广泛的影响来审查标准，被认为是通过评估来获得珍贵的支持。