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Traveling companions are object groups that move together in a period of time. To quickly identify traveling companions from a special kind of streaming traffic data, called Automatic Number Plate Recognition (ANPR) data, this paper proposes a framework and several algorithms to discover companion vehicles. Compared to related approaches, our main contribution is that the framework can instantly detect...
With the increasing abundance of traffic data from sensors and devices, the integration and analysis of such streaming data are gaining importance in many application scenarios. This paper proposes a service-based approach for integrating and analyzing the traffic sensor data to support green commute in China by automatically discovering carpooling companions within a community. Our focuses are on...
Traveling companions are object groups that move together in a period of time. In this paper, we introduce a special kind of traffic data stream, which is called Automatic Number Plate Recognition (ANPR) data. In order to quickly identify traveling companions on ANPR data stream, this paper proposes an analysis algorithm named COINCIDENT. Owing to the privacy and security of ANPR data stream, the...
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