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14 March 2024 Calibration method for driving behavior parameters in simulation model of asphalt pavement with different gradations
Yuqi Li, Zijun Liang, Ruihan Wang, Ran Deng, Ruipeng Wang, Yiran Niu, Pei Sun
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Proceedings Volume 13074, Fifth International Conference on Image, Video Processing, and Artificial Intelligence (IVPAI 2023); 130740A (2024) https://doi.org/10.1117/12.3023733
Event: Fifth International Conference on Image, Video Processing and Artificial Intelligence, 2023, Shenzhen, China
Abstract
The calibration of driving behavior parameters in the traffic simulation model for pavement formed by different aggregate mixtures is of crucial significance in ensuring the effectiveness of traffic simulation evaluation results for various asphalt pavement. This study first examines different aggregate asphalt mixtures as asphalt pavement materials through experiments. Subsequently, using queue length as the evaluation indicator, a sensitivity analysis is conducted based on VISSIM traffic simulation software to identify the set of sensitive parameter set data among the driving behavior parameters for asphalt pavement under study. The study then uses the traffic simulation model to determine the value of the driving behavior parameter set that result in the smallest error rate between simulated queue length and measured queue length on asphalt pavement. This completes the calibration of driving behavior parameters for the studied asphalt pavement in the traffic simulation model. Finally, the proposed method is validated through real-world case studies. This study proposes a feasible parameter calibration method for traffic simulation scenarios of asphalt pavement formed by different gradations of asphalt mixtures. At the same time, it establishes the foundation for optimizing and controlling intersection signals for corresponding asphalt pavement.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Yuqi Li, Zijun Liang, Ruihan Wang, Ran Deng, Ruipeng Wang, Yiran Niu, and Pei Sun "Calibration method for driving behavior parameters in simulation model of asphalt pavement with different gradations", Proc. SPIE 13074, Fifth International Conference on Image, Video Processing, and Artificial Intelligence (IVPAI 2023), 130740A (14 March 2024); https://doi.org/10.1117/12.3023733
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KEYWORDS
Asphalt pavements
Calibration
Mixtures
Analytical research
Data modeling
Roads
Computer simulations
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