Intelligent Simulation Method of Bridge Traffic Flow Load Combining Machine Vision and Weigh-in-Motion Monitoring-Reference-Cited by-同舟云学术

Intelligent Simulation Method of Bridge Traffic Flow Load Combining Machine Vision and Weigh-in-Motion Monitoring

Published:2022-09 Issue:9 Volume:23 Page:15313-15328
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Ge Liangfu¹,Dan Danhui²^ORCID,Liu Zijia³,Ruan Xin²^ORCID

Affiliation:

1. School of Civil Engineering, Tongji University, Shanghai, China

2. Key Laboratory of Performance Evolution and Control for Engineering Structures of Ministry of Education and the School of Civil Engineering, Tongji University, Shanghai, China

3. School of Physical Science and Engineering, Tongji University, Shanghai, China

Funder

National Nature Science Foundation of China

Shanghai Urban Construction Design Research Institute Project Bridge Safe Operation Big Data Acquisition Technology and Structure Monitoring System Research

Ministry of Transport Construction Science and Technology Project Medium-Small Span Bridge Structure Network Level Safety Monitoring and Evaluation

Fundamental Research Funds for the Central Universities Intelligent Diagnosis of Transportation Infrastructure Structures

China Scholarship Council (CSC) Scholarship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/9893028/09700768.pdf?arnumber=9700768

Reference39 articles.

1. Analysis and Comparison of Microscopic Traffic Flow Models with Real Traffic Microscopic Data

2. Calibration and Validation of Microscopic Traffic Flow Models

3. An Introduction to the Bootstrap

4. On Default Correlation

5. Evaluation of the extreme traffic load effects on the Forth Road Bridge using image analysis of traffic data

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