Traffic Situational Awareness And Visualization Methods Research Based On Big Data

With the improvement of data collection technology and the development of big data concepts,more and more traffic data can be collected using data collection equipment.Visualization and visual analysis technology can help users extract useful information from complex mass data and finally realize effective analysis.Therefore,the fundamental goal of traffic data visualization is to accelerate the analysis process of traffic data through map and visualization components,so as to support people’s cognition and decisionmaking of traffic situation.Taking this goal as the guide,this paper integrates multidisciplinary theories,studies the theoretical analysis models and data representation methods of traffic visualization field.Based on the deficiency of visual analysis of traffic data,this paper proposes a new idea of embedded coding in map space.The main research contents and contributions are summarized as follows:(1)Firstly,this paper analyzes the basic data system and information characteristics of traffic big data,and expounds the relevant theoretical models and visualization methods of traffic field.(2)Secondly,based on the situational awareness theory,this paper analyzes the traffic data analysis tasks at different levels of situational awareness,proposes a traffic visualization analysis model,and introduces the key steps of the model.(3)Thirdly,This paper takes geographic space and abstract space as two sub-dimensions of visualization,and studies the way of data encoding by points and lines based on map space and the method of data representation based on abstract space in traffic visualization.(4)Further,traffic data is mostly expressed by "multi-view window strategy",which is out of the map space and tends to cause "visual cognition disconnection".Therefore,this paper proposes a new design form of traffic flow integrated coding based on map space.Different from the point and line data encoding in map space,this paper proposes a method to encode complex and relevant statistical data into map space,breaking the limitation that traditional map visualization can only express a single data state.This visual analysis method takes the map space as the exploration environment,inserts the visual structure into the map,and realizes the fusion of the time event stream and the map.The map perspective has not only the spatial characteristics,but also the time characteristics.Users can comprehensively understand the data information of traffic situational awareness layer,understanding layer and prediction layer in map space.