Visualization Of Traffic Road Dynamic Network Considering The Influence Of Disaster Weather

Visualization of traffic roads is a means that can present complex traffic information in an intuitive way and be quickly understood by people.It can provide decision support for people's travel,traffic supervision and planning,and is an important means for the development of intelligent transportation.With people relying more and more on obtaining traffic road information under the network environment,scholars and experts at home and abroad have carried out fruitful research work on the visualization of traffic road network,but there are still problems that the visualization of disaster weather fusion on the road is not intuitive enough,and it is difficult to directly support the efficient rendering of large-scale road traffic data under the network environment.Therefore,this paper focuses on the research of high-efficiency and high-quality visualization method of large-scale road traffic data considering the influence of disaster weather,breaks through the key technologies such as traffic road suitability expression,large-scale traffic road network data organization and scene optimization considering the influence of disaster weather,develops prototype system and conducts experimental analysis.The main research work and achievements are as follows:(1)Put forward the expression method of traffic route considering the influence of disastrous weather.By classifying and summarizing disaster weather information of different kinds and different danger levels,adopting visual design principles such as color cognition and symbol cognition,this paper studies the suitability expression technology adaptive to the current road conditions,and designs a dynamic visual display method of traffic routes taking into account the impact of disaster weather,which realizes the dynamic integration of traffic routes and disaster weather information,and effectively supports the animation effects of realtime transformation of road congestion,efficient real-time dynamic light flow,etc.,and improves the intuitiveness of the fusion display of traffic route information and disaster weather information.(2)Put forward the data organization and scene optimization method of large-scale traffic road network.The features of large-scale road network data are analyzed,the hierarchical method of road network data based on road attributes is studied,the massive data organization method based on tile quadtree is studied,and a multi-road merging method considering the characteristics of Web GL line segment index is proposed,which breaks through the key technologies of scene optimization such as horizon culling and cache scheduling,realizes efficient rendering of large-scale traffic road network data,and supports high-quality display of large-scale traffic road network data.(3)Prototype system research and development and case experiment analysis.In this paper,the prototype system is developed by using the development tools,platforms and languages such as Visual Studio Code,Cesium1.56,Java Script,HTML5 and CSS,and the visualization experiment analysis of traffic road dynamic network considering the influence of disaster weather is carried out to verify the effectiveness and feasibility of the scheme in this paper.The experimental results show that this method can realize the high-quality and high-efficiency display of large-scale road traffic information under the network environment,and the visual frame rate is stable above 40 FPS,which is helpful to improve the transmission efficiency of complex traffic information.