GLOBAL ROAD NETWORK DATASET FUSION BASED ON TRACEABILITY MECHANISM

• Main Authors: Wu, C., Zhang, H., Du, X., Li, Z., Lin, S., Liu, J.
• Format: Conference Proceeding
• Language: English
• Subjects: Accuracy; Algorithms; Archives & records; Construction; Construction planning; Data integration; Datasets; Emergency preparedness; Emergency response; Geographical locations; Geography; Information resources; Information sources; Integrity; Matching; Methods; Remote sensing; Roads; Spatial data; Topology; Traffic planning; Transportation networks
• ISSN: 2194-9034; 1682-1750; 2194-9034
• DOI: 10.5194/isprs-archives-XLIII-B4-2022-633-2022

Accurate road network information is the foundation of urban construction, traffic planning and emergency response, and also provides necessary assistance for public travel. How to provide global road network data products with complete elements, rich attributes, and high precision is a problem that must be considered in the reserve of basic geographic information resources.This paper studies the geometric information fusion of multi-source data based on OSM road network data, mainly carries out relevant research work on the identification and matching of homonymous entities, and proposes a method based on traceability mechanism to solve the problem of inconsistent geographical location in different data sets after topology preprocessing of homonymous features, so as to improve the integrity and accuracy of road network data after fusion.This paper proposes a method based on traceability mechanism, and explores a technical processing flow of global road network data fusion. The test process greatly improves the matching effect of entities with the same name in different data sets, greatly ensures the original topology relationship, and improves the integrity and accuracy of the fused road network data. The data test result shows that this method has certain application value and can basically meet the actual needs of multi-source road network data fusion from a global perspective.