The asphalt road construction, as well as the quality of the road, relies nowadays to a great extend on the experience of the road construction workers. The development of a system for machine control and fleet management on an asphalt road construction site, which enables building roads of better quality and durability, was the main objective of the described work. Especially the mass flow of asphalt and the detailed optimization of different machine control loops as well as quality dependent measurement systems can bring a significant improvement of the process and final quality. The improvements are based on real-time and position information. Here, a GNSS receiver as main positioning utility was developed for the applications. The paper describes the research work that was conducted within the European GNSS Agency funded project 'advanced Galileo navigation system for asphalt fleet machines' (ASPHALT) with the final objective to build roads of better quality and dur ability. The project was finished successfully in May 2012. This paper introduces the ASPHALT project, describes the developed GNSS receiver, the antenna, the RF frontend, and the baseband; the RTK solution to achieve the high precision position solution; the PVT solution, and the EDAS implementation to provide continuous EGNOS correction data stream for position calculation. Furthermore, test results of static and dynamic measurements show the performance of the developed GNSS receiver and the whole system

Constant monitoring and control of parameters during road construction are significant for the quality and durability of the road. More than 90% of the total road network has an asphalt surface which must be regularly repaired or rebuild. An increasing lifetime will result in reduction of cost of road maintenance. Key factors are to optimally manage truck fleets, operate the paver, and steer the compactors. Any suboptimal operation within this chain may lead to a reduction in road quality. The ASPHALT project aims at developing a cost and precision optimized solution taking advantage of the future Galileo system and EGNOS. Thereby, the positioning system will be closely coupled with the machine control and monitoring system. This paper introduces the ASPHALT project, describes the envisioned GNSS receiver, the RTK solution to achieve the high precision position solution, and the EDAS implementation to provide continuous EGNOS correction data stream for position output a nd RTK support

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