Evaluating Road Network Capacity in the Semantic Geospatial Sensor Web

As one of the assessment indicators on traffic performance, the road network capacity is an important reference for residents' travel experience, as well as urban traffic planning. This paper proposes a semantic architecture for the intelligent transportation systems in the environment of geospatial sensor web. The ontology of road network capacity is designed as the information model for conduct processes. Heterogeneous sensor data including crossroads' camera monitoring data, floating vehicle data and unmanned air vehicles camera survey data are integrated into the OGC Sensor Web Enablement framework through RDF/XML uniform standardization in the implementation which takes Xiangzhou district in Zhuhai city as a case study. The macroscopic fundamental diagrams and congestion estimation processes are developed as the OGC Web Processing Service interfaces to meet the requirement of the geospatial integration. A prototype of software application is also developed for the visualization of the evaluation.