Research On Road Automatic Maintenance Decision-Making For Pavement Performance

With the impact of climate change,traffic volume and other factors,road diseases are gradually increasing,the service level and service life of the road are seriously affected,and road maintenance has become an important issue in the current highway industry.In view of the problems of insufficient maintenance funds,heavy maintenance tasks,low level of automation and informatization in highway maintenance decision-making,the research on highway maintenance decision-making is carried out.In this paper,the multi granularity partition method is proposed to calculate and evaluate the pavement performance index.Based on the least square support vector machine,we established the pavement performance prediction model,the multi-objective maintenance decision model is established under the constraints of funds and other factors,and the highway automatic maintenance decision system is designed and developed.It has an important sense to maintain the highway service level,improve the imformatization and intelligence level of highway maintenance decision-making,and ensure the safety of drving.The main research results of this paper are as follows:(1)In order to understand the problem of highway diseases,the paper studies the common diseases and classification of the road surface,introduces the relevant national evaluation standards and models,as well as the automatic detection methods and data acquisition equipment of the road technical conditions in this study.In order to improve the fine level of evaluation and evaluate the pavement performance flexibly,this paper puts forward the calculation and evaluation of multi granularity pavement performance,and makes some detailed rules for the division of the minimum unit,and explains the process and significance of the multi granularity method with the specific data of the road section.(2)In order to reveal the relationship between pavement performance and traffic volume,climate and other influencing factors,firstly,the influencing factors of pavement performance are classified and studied,secondly,the influencing factors of pavement performance are determined by grey correlation analysis,and according to the characteristics of large randomness of influencing factors and accumulation of influencing factors on pavement performance year by year,puts forward the cumulative addition method with road age as the time axis to deal with the influencing factors.The influence factors are dealt with by the cumulative addition of axes.On this basis,the pavement performance index prediction model is established based on the last square support vector machine theory,and the parameters of the prediction model are optimized by particle swarm optimization algorithm.Finally,the simulation experiment is carried out based on the road section data from 2012 to 2018,and the results show that the road damage index and road driving quality index can be well predicted.(3)In order to alleviate the conflict between the heavy task of road maintenance and the shortage of maintenance funds,from the perspective of maintenance decision-makers,according to the pavement performance calculation and prediction data,the highway multi-objective maintenance decision-making model is established,and the model is solved by the exchange particle swarm optimization algorithm,with the improvement of road performance and maintenance efficiency as the core and considering the constraints of funds.The results show that it can provide data support for maintenance decision-makers to make multi-year maintenance plan and improve the intelligent level of maintenance decision-making.(4)In view of the low degree of modern information and automation in highway maintenance decision-making,this study analyzes the demand of highway automatic maintenance decision-making system,and designs the overall architecture,functional modules and database of the system,on this basis,determines the development mode and platform of the system.Finally,with C# and JavaScript as the main development language,the highway automatic maintenance decision-making system is realized,and the informatization level of highway maintenance decision-making is improved.