Detect and charge: Machine learning based fully data-driven framework for computing overweight vehicle fee for bridges
Author:
Publisher
Elsevier BV
Subject
Building and Construction,Civil and Structural Engineering,Control and Systems Engineering
Reference26 articles.
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Prediction of the severity of exceeding design traffic loads on highway bridges;Heliyon;2024-01
2. Designing High Speed Weigh-in-Motion System With Principal Component Regression in Wallonia (Belgium) Toward Direct Weight Enforcement;IEEE Transactions on Intelligent Transportation Systems;2024
3. A sequence-to-sequence model for joint bridge response forecasting;Mechanical Systems and Signal Processing;2023-11
4. Monitoring vehicles with permits and that are illegally overweight on bridges using Weigh-In-Motion (WIM) devices: A case study from Brescia;Case Studies on Transport Policy;2023-09
5. Bridge’s vehicular loads characterization through Weight-In-Motion (WIM) systems. The case study of Brescia;European Transport/Trasporti Europei;2023-02
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