Pavement Roughness Detection Method Based on Smartphone and PSO-BP Neural Network
Publication: International Conference on Road and Airfield Pavement Technology 2023
ABSTRACT
With the development of cell phone technology, smartphone nowadays is no longer limited to communication but is also well used in fields such as traffic engineering, where they can be used to collect driving vibration data to evaluate pavement performance. The approach based on smartphones could effectively reduce the cost of pavement detection, in which the relationship between smartphone test data and pavement performance is the essence of the method. This study predicted the international roughness index (IRI) based on an improved PSO-BP neural network method using the driving vibration data collected by a self-developed smartphone application. The results show that the driving speed, acquisition frequency, experimental vehicle, and the attitude of mobile phones have a significant impact on the vibration data. The regression value (R) of the roughness optimized by PSO is 0.90, and the average relative error is 18.01%, which is improved by 4.29% compared with the traditional BP neural network. The pavement roughness can be more accurately predicted by using the method proposed in this study, which provides theoretical support for the further development of the intelligent detection of pavement performance.
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Information & Authors
Information
Published In
International Conference on Road and Airfield Pavement Technology 2023
Pages: 883 - 893
History
Published online: Feb 6, 2024
ASCE Technical Topics:
- Artificial intelligence and machine learning
- Computer programming
- Computing in civil engineering
- Continuum mechanics
- Data collection
- Detection methods
- Dynamics (solid mechanics)
- Engineering fundamentals
- Engineering mechanics
- Field tests
- Gravels
- Infrastructure
- Methodology (by type)
- Motion (dynamics)
- Neural networks
- Pavement condition
- Pavement surface roughness
- Pavements
- Research methods (by type)
- Solid mechanics
- Tests (by type)
- Traffic engineering
- Transportation engineering
- Vibration
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