详情

Decision-Making Tool for Road Preventive Maintenance Using Vehicle Vibration Data

项目名称：	Decision-Making Tool for Road Preventive Maintenance Using Vehicle Vibration Data
摘要：	America�s aging infrastructure systems are facing a significant challenge due to the limited renovation funding. The most cost-effective strategy to improve the overall conditions of America�s road infrastructure is through the Preventive Maintenance, i.e., a planned treatment to an existing roadway system and its appurtenances before deficiencies develop. However, making robust preventive maintenance decisions on a relatively large section of roads can be a nontrivial task, due to various factors that need to be considered in the calculation. Therefore, this study aims to test a framework that maps pavement surface conditions based on running vehicles� vibration data (via sensors built in most smartphones), and optimizes the preventive maintenance plans based on the deterioration modeling of the road system (urban level). The technical objectives include: 1) Understand the statistical relationship between vehicle vibration (monitored by smartphone accelerator sensors) and pavement damages; 2) Investigate deterioration modeling of the road system with vehicle vibration data; and 3) Test algorithms that optimize preventive maintenance plans for the overall performance of the entire system in the long term. This study will advance our knowledge about preserving existing road infrastructure through calculated preventive maintenance. The findings will enable the development of an automatic and economic road condition evaluation method by monitoring the vibration patterns of the running vehicles on the road.
状态：	Completed
资金：	100,002
资助组织：	Office of the Assistant Secretary for Research and Technology
管理组织：	Transportation Consortium of South-Central States
项目负责人：	Karaman, Ibrahim
执行机构：	Louisiana State University and A&M College
主要研究人员：	Du, Jing
开始时间：	20180315
预计完成日期：	20190915
实际结束时间：	20190915