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Open AccessArticle

Infrastructure Safety Oriented Traffic Load Monitoring Using Multi-Sensor and Single Camera for Short and Medium Span Bridges

by Ye Xia 1, Xudong Jian 2,*, Bin Yan 3 and Dan Su 4
1
Department of Bridge Engineering, Tongji University, Shanghai 200092, China
2
State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China
3
Beijing Guodaotong Highway Design and Research Institute Co., Ltd., Beijing 100124, China
4
Department of Civil & Environmental Engineering, Embry Riddle Aeronautical University, Daytona Beach, FL 32114, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(22), 2651; https://doi.org/10.3390/rs11222651
Received: 11 October 2019 / Revised: 10 November 2019 / Accepted: 11 November 2019 / Published: 13 November 2019
(This article belongs to the Special Issue Vision-Based Sensing in Engineering Structures)
A reliable and accurate monitoring of traffic load is of significance for the operational management and safety assessment of bridges. Traditional weight-in-motion techniques are capable of identifying moving vehicles with satisfactory accuracy and stability, whereas the cost and construction induced issues are inevitable. A recently proposed traffic sensing methodology, combining computer vision techniques and traditional strain based instrumentation, achieves obvious overall improvement for simple traffic scenarios with less passing vehicles, but are enfaced with obstacles in complicated traffic scenarios. Therefore, a traffic monitoring methodology is proposed in this paper with extra focus on complicated traffic scenarios. Rather than a single sensor, a network of strain sensors of a pre-installed bridge structural health monitoring system is used to collect redundant information and hence improve accuracy of identification results. Field tests were performed on a concrete box-girder bridge to investigate the reliability and accuracy of the method in practice. Key parameters such as vehicle weight, velocity, quantity, type and trajectory are effectively identified according to the test results, in spite of the presence of one-by-one and side-by-side vehicles. The proposed methodology is infrastructure safety oriented and preferable for traffic load monitoring of short and medium span bridges with respect to accuracy and cost-effectiveness. View Full-Text
Keywords: traffic load identification; bridge weigh-in-motion; multiple-vehicle problem; deep learning; structural health monitoring; computer vision traffic load identification; bridge weigh-in-motion; multiple-vehicle problem; deep learning; structural health monitoring; computer vision
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MDPI and ACS Style

Xia, Y.; Jian, X.; Yan, B.; Su, D. Infrastructure Safety Oriented Traffic Load Monitoring Using Multi-Sensor and Single Camera for Short and Medium Span Bridges. Remote Sens. 2019, 11, 2651.

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