Abstract
In urban road construction, the most common is the urban internal traffic system. With the continuous improvement of people’s living standards, travel needs and environmental awareness, higher requirements are put forward for urban road traffic safety. In order to meet the development needs of this new situation and new task, China began to implement a series of municipal engineering management system reform measures and achieved certain results, but there are still some problems to be solved. Therefore, based on the RF-WPA hybrid algorithm, this paper optimizes the SVM parameters and designs the municipal road project cost prediction model. Firstly, this paper expounds the significance of municipal road engineering cost, and then studies the RF-WPA hybrid algorithm and the optimized SVM parameter model. Based on this, the municipal road engineering cost prediction model framework is designed and developed, and the model is simulated and tested. Finally, the simulation results show that the prediction results of model parameters are greatly improved compared with those before and after optimization. The municipal road engineering cost prediction system based on RF-WPA hybrid algorithm to optimize SVM parameters has good prediction performance and high overall prediction accuracy.
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Feng, F. (2022). Cost Prediction of Municipal Road Engineering Based on Optimization of SVM Parameters by RF-WPA Hybrid Algorithm. In: Sugumaran, V., Sreedevi, A.G., Xu , Z. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. ICMMIA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 138. Springer, Cham. https://doi.org/10.1007/978-3-031-05484-6_11
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DOI: https://doi.org/10.1007/978-3-031-05484-6_11
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