Toward a Reasoning Service to Improve Routable Road Maps by Deriving Road Attributes from Telematics Data
نویسندگان
چکیده
Detailed road maps are essential for efficient routing of vehicles. However, available data on roads is not always sufficient to support efficient routing, especially in the domain of agricultural vehicles, where route networks are not maintained by official mapping agencies. Efficient route planning can help reducing the cost of agricultural operations such as harvesting. We propose an approach for inferring road attributes from telematics data. The approach is based on semantic web technologies: a SWRL rule-based reasoning service infers road attributes from sensor data gathered by vehicles. This approach is meant to be used to develop a service for efficient routing of agricultural vehicles.
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