详情

Working with Autonomous Trucks to Improve Routine Maintenance Operations

项目名称：	Working with Autonomous Trucks to Improve Routine Maintenance Operations
摘要：	Texas has become a major hub for automated trucking activities with companies operating routes daily. Quality infrastructure is essential for the safety of today’s drivers and critical to the future of a growing connected and automated vehicle (CAV) market. Data generated by these advanced vehicles can unlock significant benefits and savings—especially for routine maintenance operations. Traditional maintenance data is sparse and lacks precision, relying heavily on TxDOT personnel to conduct inspections and drivers to report issues. By partnering with automated trucking companies, TxDOT gains high-resolution, real-time data on pavement, signage and other assets that can be used to modernize routine maintenance operations. The research team will develop and test an end-to-end Intelligent Routine Maintenance Framework—from detection to resolution. Key results shall include: 1) A public-private partnership network of stakeholders who build consensus on standards and data sharing agreements. 2) An Intelligent Routine Maintenance Framework that integrates new CAV data sources, streamlines workflows, and monitors performance measures. 3) A prototype maintenance system tested with data from at least two automated trucking companies. 4) Infographics and visualization tools that communicate qualitative and quantitative project benefits. 5) A Sustainability and Growth Plan that includes complementary artificial intelligence (AI) solutions, cost-benefit analysis and procurement documents.
状态：	Active
资金：	324,854
资助组织：	Texas Department of Transportation
项目负责人：	Steele PMP, CTCM, Joanne
执行机构：	Center for Transportation Research
开始时间：	20210901
预计完成日期：	20230831
主题领域：	Maintenance and Preservation