No abstract

Road congestion and traffic-related pollution have a large, negative social and economic impact, and we believe many of these problems can be reduced through investment in monitoring, distribution and processing of traffic information. This paper outlines how our on-going work on the TIME project (Transport Information Monitoring Environment) provides a solution, using traffic sensor systems and the design and development of an open and decentralised software framework. We also discuss how we address the privacy and security implications of the increased use of sensors and data processing.

In this paper we consider the problem of sharing data collected by sensors worldwide amongst different applications. We focus on the increasingly large collection of powerful sensor nodes which have full-time connections to the Internet, and describe a distributed architecture capable of f exibly sharing these data streams. The solution must operate reliably and continuously despite live conf guration changes and failures. We draw on event-based systems and present the component middleware we have implemented for processing and distributing sensor data. A key aspect is its support for third-party remapping between components in order to adapt to topology changes. We also show that it is able to rapidly reconf gure itself when failures occur.

No abstract