Highway Pavement Management Intelligent Decision Model Based GIS

Highway traffic has increased substantially in recent years, because the heavy traffic loads and the effect of the natural environment, especially the pavement diseases is increasing, resulting in a significant increase in road maintenance work. But at present our country highway maintenance management career in general is still at a low level of development, the integration and application of modern information technology is relatively weak, the traditional means of management and maintenance needs of the contradiction between the increasingly prominent. In order to improve highway scientific management, information and intelligence technology becomes an important subject in transportation department.Based on the pavement management for the purpose, in road engineering and the management science theory, it carries out expressway maintenance management decision as the main research object, using the field investigation and numerical calculation combined with comprehensive research methods, and the use of modern mathematics theory, geographic information theory and artificial intelligence technology. It used GIS technology as the development platform, to build adaptive capacity and interactive multi-objective decision maintenance management system. It can meet the modern, large-scale and high quality of road maintenance requirements for road pavement performance evaluation and prediction, a reasonable allocation of funds determine the road maintenance program, provides intelligent multi-objective optimization decision management, which for highway operations and more sustainable and economic development has important theoretical and practical significance. This article mainly research content has:1. Paper describes the background to the study and research significance, through understand the development of pavement maintenance management system status, and through dynamic analysis and comparison about the current pavement management system determine the ideas and directions of this paper.2. By studying highway pavement maintenance management and business needs of the present situation. GIS technology as a platform for the conservation management of the overall design, according to expressway maintenance management business processes, developed a system of data processing processes and functions composition, and designed of the system’s software framework and mixed-mode network structure model to determine the system deployment plan and principles.3. According to maintenance and management data needs analysis, it determines the maintenance management system of the main content of spatial database and attribute database. To design highway data collection criteria, field data include pavement breakage, pavement deflection, smoothness of pavement, skid resistance, traffic, etc., industry data are pavement types, road of code and road maintenance history data. Through dynamic segmentation technology, road space data and attribute data associated with, it effective achieved highway maintenance management of the GIS database.4. Pavement condition evaluation is a necessary function module of pavement management system, is the basis for traffic forecast and optimization strategies.To asphalt concrete pavement maintenance, we often test four evaluations, there are pavement damage condition, ride quality, strength and safety. For the uncertain factors affecting the performance of the road, accord with the actual demand it put forward based on fuzzy neural network model for comprehensive evaluation of pavement performance.5. By analysis the main factors affecting road performance, based on the current most of highway the actual situation, through the historical data in the database for training and testing, it established self-learning, adaptive BP neural network model of the pavement performance prediction model for multi-year road maintenance funding needs to provide reference.6. Pavement maintenance decision optimization is the core of the whole pavement maintenance management system, based on maintenance decision optimization and multi objective optimization study, the traditional mathematical programming method has low efficiency and difficult to use insufficient for expressway pavement maintenance decision optimization. It established multi-objective constrained discrete PSO maintenance decision model, each particle in the solution space by following the optimal particle search optimization, to obtain optimal maintenance scheme of Pareto solution in maintenance funds and other multiple constraints. It solved the large-scale and complex road network management strategy optimization problems, to realize the intelligent maintenance management decision.