Advanced Galileo navigation system for asphalt fleet machines ASPHALT

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 and RTK support.