Workshop/Collaborative Research: The Frontiers of Artificial Intelligence-Empowered Methods and Solutions to Urban Transportation Challenges

这笔赠款为一个研讨会提供资金，该研讨会将聚集来自交通、计算机科学和其他相关学科的研究人员，探索人工智能 (AI) 支持的方法和解决方案的前沿以及未来的研究方向，以应对城市交通挑战。随着交通数据数量和种类的快速增长，人工智能技术与其他分析方法相结合，在提高科学理解、变革性明智决策以及城市交通基础设施系统创新、主动管理解决方案方面展现出巨大潜力，但也认识到了重大挑战。本次研讨会将吸引来自学术界、工业界和政府机构的杰出专家共同努力，确定开发人工智能支持的方法和解决方案应对城市交通挑战的巨大研究和教育需求和挑战，并进一步刺激交通和人工智能社区的变革性研究和教育活动。本次研讨会包括两个阶段。第一阶段有四场讲台会议、一场圆桌讨论会和一场工作会议，旨在调查和记录利用人工智能方法进行城市交通管理基础研究的潜力和挑战。讨论的主题包括交通传感和监控、缓解拥堵、共享出行、用户行为以及相关的公平和环境问题。第二阶段将举办三场讲台会议和一场圆桌讨论会议，探讨新的教育和培训需求以及培养未来劳动力和应对这一交通运输领域重大技术革命的方向。总体而言，这个两阶段的研讨会将为交通和人工智能研究界制定一个非常理想的战略研究和教育议程，以共同开发人工智能支持的方法和解决方案，以应对城市交通挑战及其劳动力发展需求。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力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 grant provides funds for a workshop that will gather researchers from transportation, computer science, and other relevant disciplines to explore the frontiers of artificial intelligence (AI)-empowered methods and solutions and future research directions to address urban transportation challenges. With the quickly growing quantity and variety of transportation data, AI technologies combined with other analytical methods have demonstrated a great potential to improve scientific understandings, transformative informed decisions, and innovative, proactive management solutions for urban transportation infrastructure systems, although significant challenges are also recognized. This workshop will attract distinguished experts from academia, industry, and government agencies to work together to identify the tremendous research and educational needs and challenges in developing AI-empowered methods and solutions to urban transportation challenges, and further stimulate transformative research and education activities in both transportation and AI communities.This workshop includes two phases. Phase I has four podium sessions, one round-table discussion session, and one work session to investigate and document the potential and challenges of leveraging AI-empowered methods for fundamental urban transportation management research. Topics to discuss include traffic sensing and monitoring, congestion mitigation, shared mobility, user behavior, and associated equity and environmental issues. Phase II dedicates three podium sessions and one round-table discussion session to explore new education and training needs and directions for developing future workforce and responding to this big technology revolution in transportation. Overall, this two-phase workshop will produce a highly desired strategic research and education agenda for transportation and AI research communities to jointly develop AI-empowered methods and solutions to address urban transportation challenges and their workforce development needs.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.