详情

RES2023-20: TDOT RDS Data Quality Assurance and High-Resolution Content Enhancement

项目名称：	RES2023-20: TDOT RDS Data Quality Assurance and High-Resolution Content Enhancement
摘要：	The need to understand the state of traffic and its dynamics is only increasing on Tennessee’s major roadways. Increasing passenger and freight demand is driving congestion and safety concerns. Tennessee Department of Transportation (TDOT) is taking major steps to address these concerns for the motoring public through capital projects, active traffic management strategies, and real time incident response. A major source of real-time roadway condition data in Tennessee is the RDS data system. Over 800 detectors across the state provide information on vehicle counts, classifications, and speeds. Crucially, they take high-fidelity measurements that are not available from many alternative sources, while being non-invasive for easy construction and maintenance. The challenge remains that powerful insights from the data can be hampered by suboptimal data quality and usability or availability limitations. Specific limitations that exist in the RDS data stream include degraded system uptime, short periodic data outages, a high degree of noise in data at some fidelity levels, and loss of sensor calibration over time.
状态：	Active
资金：	249030
资助组织：	Tennessee Department of Transportation
管理组织：	Tennessee Department of Transportation
执行机构：	Vanderbilt Center for Transportation Research (VECTOR)
主要研究人员：	Barbour, William
开始时间：	20220801
预计完成日期：	20250131
主题领域：	Data and Information Technology；Highways