Automated Track Geometry Monitoring System
项目名称: Automated Track Geometry Monitoring System
摘要: This study will develop, implement, and evaluate an autonomous track geometry monitoring system to screen the network for faults during normal train operations. The technology performance will depend on the specific implementation and deployment options selected. Therefore, automatic data collection and recording devices will be necessary to gather motion, location, and speed data to evaluate the performance of various system implementation options. Initial data collection will begin with a smartphone that has all of the required sensors. The PIs will develop a smartphone application that will be capable of autonomously collecting and uploading data from hi-rail vehicles where power is available. The technology transfer phase will inform commercialization partners about the best approaches to develop a lower-cost and self-sufficient version of the sensor system deployed during the research. This research project will focus on developing the signal processing and machine learning algorithms and models that will transform the on-board sensor data into track geometry equivalents. The research team will also develop a reporting and mapping system to provide decision-makers with a data visualization tool.
状态: Active
资金: 198302
资助组织: Office of the Assistant Secretary for Research and Technology
管理组织: Mountain-Plains Consortium
项目负责人: Kline, Robin
执行机构: Upper Great Plains Transportation Institute
主要研究人员: Tolliver, Denver
开始时间: 20171204
预计完成日期: 20220731
实际结束时间: 0
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