The Internet of Vehicles (IoV) is an important artificial intelligence research field for intelligent transportation applications.\nComplex event interactions are important methods for data flow processing in a Vehicle to Everything (V2X) environment.\nUnlike the classic Internet of Things (IoT) systems, data streams in V2X include both temporal information and spatial information.\nThus, effectively expressing and addressing spatiotemporal data interactions in the IoV is an urgent problem. To solve\nthis problem, we propose a spatiotemporal event interaction model (STEIM). STEIM uses a time period and a raster map for its\ntemporal model and spatial model, respectively. In this paper, first, we provide a spatiotemporal operator and a complete STEIM\ngrammar that effectively expresses the spatiotemporal information of the spatiotemporal event flow in the V2X environment.\nSecond, we describe the design of the operational semantics of the STEIM from the formal semantics. In addition, we provide a\nspatiotemporal event-stream processing algorithm that is based on the Petri net model. The STEIM establishes a mechanism\nfor V2X event-stream temporal and spatial processing. Finally, the effectiveness of the STEIM-based system is\ndemonstrated experimentally.
Loading....