期刊
JOURNAL OF BRIDGE ENGINEERING
卷 27, 期 9, 页码 -出版社
ASCE-AMER SOC CIVIL ENGINEERS
DOI: 10.1061/(ASCE)BE.1943-5592.0001924
关键词
Bridge weigh in motion; Acceleration data; Vehicle identification; Axle detection
资金
- Natural Sciences and Engineering Research Council of Canada (NSERC)
- New Brunswick Department of Transportation and Infrastructure (NBDTI)
This study discusses the implementation of a novel acceleration-based vehicle identification method in a hybrid bridge weigh-in-motion system. Through a comprehensive evaluation using field study data, it was found that this method can provide more accurate velocity estimation, axle identification, and gross vehicle weight estimation.
In this study, a novel acceleration-based vehicle identification method is employed within a hybrid bridge weigh-in-motion (BWIM) system in which the traditional strain-based BWIM system is augmented with an array of accelerometers. The implementation of such a system is discussed through a full-scale case study arterial highway bridge in the province of New Brunswick, Canada. The accuracy of the proposed vehicle identification method was studied in detail using an extensive set of field study data. To achieve this, a systematic evaluation of existing methods for velocity estimation and axle identification was conducted, evaluating the effects of vehicle direction, lane position, vehicle velocity, and vehicle configuration. The methods were compared based on the sensor signal characteristics, the velocity estimation techniques, axles detection methods, and the effects on gross vehicle weight (GVW) calculation. From this study, it was found that the proposed hybrid system resulted in more accurate velocity estimation, axle identification, and ultimately better GVW estimation.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据