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Abstract-A framework is presented to deploy a smartphonebased measurement system for road vehicle traffic monitoring and usage based insurance. Through the aid of a hierarchical model to modularize the description, the functionality is described as spanning from sensor-level functionality and technical specification, up to the top-most business model. The designer of a complex measurement system has to consider the full picture from low-level sensing, actuating, and wireless data transfer to the top-most level including enticements for the individual smartphone owners; the end-users who are the actual measurement probes. The measurement system provides two data streams -a primary stream to support road vehicle traffic monitoring, and a secondary stream to support the usage based insurance program. The former activity has a clear value for a society and its inhabitants, as it may reduce congestion and environmental impacts. The latter data stream drives the business model and parts of the revenue streams which ensure the funding of the total measurement system, and create value for the end-users, service provider and the insurance company. Besides the presented framework, outcome from a measurement campaign is presented, including road vehicle traffic monitoring (primary data stream) and a commercial pilot of usage based insurance based on the driver profiles (secondary data stream). The measurement system is believed to be sustainable, thanks to the incitements offered to the individual end-users, in terms of a favorable pricing for the insurance premium. The measurement campaign itself is believed to have an interest in its own right, as it includes smartphone probing of road traffic with a number of probes in the vicinity of the current state-of-the art, given by the Berkeley Mobile Millennium Project. During the 10 month run of the project, some 4,500 driving hours / 250,000 km of road vehicle traffic data was collected. Index Terms-Complex

-A real-time cooperative localization system, utilizing dual foot-mounted low-cost inertial sensors and RFbased inter-agent ranging, has been developed. Scenario-based tests have been performed, using fully-equipped firefighters mimicking a search operation in a partly smoke-filled environment, to evaluate the performance of the TOR (Tactical lOcatoR) system. The performed tests included realistic firefighter movements and inter-agent distances, factors that are crucial in order to provide realistic evaluations of the expected performance in real-world operations. The tests indicate that the TOR system may be able to provide a position accuracy of approximately two to three meters during realistic firefighter operations, with only two smoke diving firefighters and one supervising firefighter within range.

Cost and time for die tryout are significant within the car industry, and elastic deflections of dies and presses are most commonly not considered during the virtual die design and forming simulation phase. Because of this, active surfaces of stamping dies are only cambered based on previous experiences of tool types and presses. However, almost all stamping dies and presses are unique, and available experiences are not valid for new materials. Partners within the Eureka SMART Advanced Manufacturing research project CAMBER have developed advanced deflection measuring devices to quantify the elastic deformations of presses. Using these measurements, cambering methodologies can be utilized in sheet metal forming simulations. Important breakthroughs in recent years enabling the cambering methodology consists of efficient simulation strategies for full scale simulations with elastic dies and optimization techniques for creating substitutive press structures based on measurements. Furthermore, modern press deflection measurement methods are beneficial in applications such as Industry 4.0, predictive maintenance, product quality control, etc. through a more advanced understanding and live monitoring of the press system.

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