Collaborative Research: FW-HTF-R: The Future of Trucking: Pathways to Positive Societal Outcomes

合作研究：FW-HTF-R：卡车运输的未来：实现积极社会成果的途径

• 批准号: 2317946
• 负责人: Anthony McDonald
• 金额: $ 25万
• 依托单位: University of Wisconsin-Madison
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2317946&HistoricalAwards=false
• 关键词: Collaborative; Research; FW; HTF; Future

The long-distance trucking industry is poised to be an early adopter of vehicle automation. Significant technological challenges need to be resolved before long-distance trucking can work safely without substantial human oversight. This research team effort is motivated by a shared belief that remote operation of trucks is a necessary step in the automation journey and will lead to positive technological, economic, environmental, and societal outcomes. As-needed remote operation could fundamentally transform trucking into something closer to a white-collar job, requiring human-computer interaction, in a controlled and scheduled environment. It would eschew long hours by drivers on the road, far from home, and likely change the skills and characteristics of the job in ways that will have gender/racial equity, health, and socio-economic implications. What technological problems must be solved for a truck to safely operate almost entirely autonomously, with a remote operator intervening on request or as warranted when the autonomy stack is challenged? How will the nature of the trucking occupation change, and what does it portend for current and future workers? We propose an integrated effort that innovates on remote operation technology and identifies concomitant changes in policies, regulations, and skills (including (re)training requirements) to positively affect the number and quality of jobs and improve outcomes for all stakeholders. This research will be informed by key stakeholders: drivers, independent owner-operators, shipping firms, regulators, vehicle manufacturers, and automation developers. In the Future technology context, this project will: (i) develop a data-driven and simulation-informed system that can continuously monitor and predict challenging traffic conditions, (ii) develop a robust safety filter that mediates the commands issued by the local autonomy stack and the remote human operator, (iii) establish a cooperative architecture and algorithms for automated trucking, and (iv) identify network solutions to meet the communication needs of remote operation. In the Future work component, this project will: (i) investigate information requirements of remote operators and techniques to balance automated in-vehicle control with remote control by an operator, (ii) explore managing operators’ attention and level of control across multiple trucks, and (iii) address critical regulatory issues and how to balance operator compensation, firm profitability, and technology adoption. In the Future worker category, this project will: (i) evaluate expected changes in the distribution of occupations and skill requirements in the workforce, (ii) assess the impact of job creation and loss on rural economies, and (iii) elucidate the skill and demand changes for truckers and the new training needed for these workers.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.

长途卡车运输行业被毒化为汽车自动化的早期采用者。在长距离卡车运输可以安全地工作之前，需要解决重大的技术挑战。这项研究团队的努力是由共同的信念激发的，即卡车的远程操作是自动化之旅中的必要步骤，并将带来积极的技术，经济，环境和社会成果。在需要的远程操作中，它可以从根本上将货运转变为更接近白领工作的东西，需要在受控和计划的环境中进行人工互动。它将在路上远离家园的驾驶员长时间避免长时间的时间，并可能以具有性别/种族平等，健康和社会经济的影响的方式改变工作的技能和特征。必须解决哪些技术问题才能使卡车几乎完全自主操作，而远程操作员根据要求进行干预，或者在对自主堆栈受到挑战时必须有必要？卡车运输事件的性质将如何变化，对当前和未来的工人预示了什么？我们提出了一项集成的努力，该努力对远程操作技术进行创新，并确定政策，法规和技能（包括（重新）培训要求）的伴随变化，以积极影响工作的数量和质量并改善所有利益相关者的成果。这项研究将由主要利益相关者告知：驾驶员，独立所有者 - 运营商，运输公司，监管机构，车辆制造商和自动化开发商。 In the Future technology context, this project will: (i) develop a data-driven and simulation-informed system that can continuously monitor and predict challenge traffic conditions, (ii) develop a robust safety filter that mediates the commands issued by the local autonomy stack and the remote human operator, (iii) establish a cooperation architecture and algorithms for automated trucking, and (iv) identify network solutions to meet the communication needs of remote operation.在将来的工作组件中，该项目将：（i）调查远程操作员和技术的信息要求，以平衡自动化车内控制与操作员的遥控器，（ii）探索管理人员跨多个卡车的关注和控制水平，以及（iii）解决关键的监管问题以及如何平衡运营商的薪酬，公司的可能性，公司的可能性和技术。在未来的工人类别中，该项目将：（i）评估劳动力中事件和技能要求分配的预期变化，（ii）评估创造工作和损失对艰难经济学的影响，以及（iii）阐明卡车司机的技能和需求变化以及对这些工人所需的新培训所需的新培训。这些奖项反映了NSF的智力和范围的范围。 标准。