CAJ | 학술논문

在对重庆渝合、渝黔、綦万3条高速公路日常养护费用数据分析的基础上,运用回归分析建立了重庆高速公路养护费用和使用年限的关系模型,得出了重庆高速公路应进行预防性养护的最佳时机,并利用BP神经网络构建预测模型来达到预测未来重庆高速公路所需养护费用的目的。
재대중경투합、투검、기만3조고속공로일상양호비용수거분석적기출상,운용회귀분석건립료중경고속공로양호비용화사용년한적관계모형,득출료중경고속공로응진행예방성양호적최가시궤,병이용BP신경망락구건예측모형래체도예측미래중경고속공로소수양호비용적목적。
Based on analysis of daily maintenance cost data of Yuhe Highway, Yuqian Highway and Qiwan Highway and by using regression analysis, the relevance model between maintenance cost and using duration of Chongqing highways was constructed, the optimal opportunity for Chongqing highways to implement preventive maintenance was obtained, and BP neural network was used to construct predictive models in order to attain the goal for forecasting the cost needed in Chongqing highway maintenance in the future.