The density of the network of road ice warning systems (RWIS) on federal motorways is higher by far than in the subordinate network. A densification of the monitoring network analogous to federal motorways is, however, not realisable due to financial and organisational reasons. The target of the planned research therefore is the simplified capture of data on wintery road and weather conditions, in order to enable a considerable densification of the monitoring network under conditions which are economically acceptable. This would enable the winter service to evaluate the road conditions across the network, in order to meet requirements and carry out winter service operations in a more economic way. In the framework of a life-cycle cost analysis, the investment and operating cost data of more than 200 RWIS were evaluated. The analysis amounted to average investment costs of 38,300 € per measuring point. These costs are mainly influenced by the type of electricity supply (on-grid/self-sufficient), as well as the scope and type of sensors. The data gathered during energy metering on existing RWIS show that RWIS have in part extremely differing power consumptions. However, energy-optimised equipment enables economically acceptable, self-sufficient energy supply. In the winter of 2011/2012 operational decisions in three maintenance centres were examined. This study revealed that RWIS are the most important source of information as they are consulted for more than 60% of all decisions. Air and road surface temperature are the most important parameters. Camera pictures are often also very important for users. Essential for the economic operation of RWIS and a continuous benefit for the users is a high reliability of the measurement data displayed. Therefore, quality management during installation and operation should gain greater emphasis. To achieve this, the Road Administrations should plan standardised acceptance tests and regular check tests on the basis of the valid technical standards, in combination with routine maintenance and calibration. (Author/publisher)
Abstract