A spatiotemporal distribution identification method of vehicle weights on bridges by integrating traffic video and toll station data-Reference-Cited by-同舟云学术

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A spatiotemporal distribution identification method of vehicle weights on bridges by integrating traffic video and toll station data

Published:2024-02-25 Issue: Volume: Page:1-18
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Zhang Jianliang¹^ORCID,Cheng Yuyao²,Zhang Jian³,Wu Zhishen⁴

Affiliation:

1. School of Civil Engineering, Southeast University, Nanjing, China

2. School of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang, China

3. Jiangsu Key Laboratory of Engineering Mechanics, Southeast University, Nanjing, China

4. Key Laboratory C&PC Structures, Ministry of Education, Southeast University, Nanjing, China

Funder

Jiangsu Shuangchuang Doctor Program

National Key R&D Program of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15472450.2024.2312810

Reference32 articles.

1. WIM-Based Live-Load Model for Advanced Analysis of Simply Supported Short- and Medium-Span Highway Bridges

2. Performance of optical flow techniques

3. Sensor Networks, Computer Imaging, and Unit Influence Lines for Structural Health Monitoring: Case Study for Bridge Load Rating

4. AN INTERPRETIVE METHOD FOR MOVING FORCE IDENTIFICATION

5. Identification of spatio-temporal distribution of vehicle loads on long-span bridges using computer vision technology

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