Research And Implementation Of A Support System For Digital Road Network Data Services

Digital road network is a key technology for building smart cities and driving unmanned landings.Digital road network service combines key technologies such as vehicle-road collaboration,cloud computing and Internet of Things to get through the four dimensions of data access:people,vehicles,roads and clouds,and then builds a collaborative smart traffic mode.Promoting the development of digital road network services is of great significance to national modernization and scientific and technological progress.The support system for data services in the digital road network designed and implemented in this paper provides data support for digital road network services,including dynamic vehicle trajectory data and static high-precision road network data.In the aspect of dynamic vehicle trajectory data processing,since the vehicle trajectory data comes from different sensors,and the detection results of the sensors are not completely consistent,this paper presents a post-fusion algorithm based on sliding clustering to post-fuse the multi-data source trajectory data,and verifies the validity of the algorithm through experiments.In terms of static highprecision road network data processing,since the current description methods of high-precision maps follow AS AM OpenDRIVE standard,the high-precision maps defined in this standard not only have a large amount of data,but also the static elements in the road network are coupled with the lane information in the road network,which is not conducive to network transmission and retrieval of road network elements,Therefore,this paper proposes a hierarchical high-precision road network model to describe high-precision map.This model uses the idea of division to manage different types of road network information separately.Using this model can improve the speed of retrieving network elements and make the static network information managed effectively.This paper first introduces the background knowledge and theoretical techniques related to digital road network and trajectory clustering,then makes a detailed demand analysis of the system,divides the system requirements into several sub-cases,and then elaborates the sliding cluster fusion algorithm,which solves the problem of trajectory fusion of multiple data sources in the system.Then according to the requirement analysis,the overall design of the system and the detailed design of multi-module are explained.Finally,the functional tests of the system are carried out.