The constantly growing volume of traffic is one of the biggest challenges our society has to deal with now and in the future. Intelligent transport systems and efficient mobility solutions can help reduce congestion and related problems such as time loss, longer journey times and negative environmental impacts.
The team of RISC Software GmbH has already gained many years of experience in the field of intelligent transport systems as well as transport telematics and has a wide range of expertise to promote efficient and sustainable development in the transport sector, with a focus on road transport, especially in the province of Upper Austria.
Real-time traffic situation information
An important area of expertise is the development of comprehensive real-time traffic situation images and forecasts, which are generated seamlessly on the basis of a traffic situation graph and with the help of data from modern sensor systems and supplementary traffic simulation. This real-time traffic situation information forms the basis for obtaining reliable and highly up-to-date information on traffic volumes, traffic obstructions, congestion and travel times.
Subsequently, an efficient routing and an optimal choice of transport modes and times of departure can be ensured. Likewise, various projects in the fields of shared mobility (e.g. car-sharing apps) and multimodal transport have already been successfully implemented with the help of this traffic data, and individually adapted transport and route planning software with mathematical optimisation algorithms has been developed.
Side radar units and induction loops integrated into the roadway belong to the VDL (Vehicle Detection Loops) category and provide cross-sectional measurements on the respective road segment. The information obtained includes the number of vehicles, driving speed and vehicle type. An advantage of this sensor technology is the complete detection of all vehicles and thus a 100% coverage of the road segment under consideration.
Bluetooth sensors enable route-related measurement by recording the vehicles and the times they pass and determining the travel time between the respective sensors. A prerequisite for this is that the vehicle is equipped with Bluetooth communication (e.g. hands-free kit).
With the help of GPS data from the vehicles, so-called Floating Car Data (FCD) is collected. This enables route-related measurement by providing information on the route, driving speed, driving time and vehicle type (e.g. truck, car) in real time. The advantage lies in the high coverage rate even in the low-ranking road network.
To close spatial or temporal gaps in the traffic situation data due to insufficient coverage, a supplementary traffic simulation (SUMO from DLR Berlin) is used. It links live current real-time traffic data with historical traffic data and known demand models to forecast traffic conditions for times and road sections with low coverage.
Data protection and transparency have a high priority in the generation of real-time traffic situation information. With the help of a suitable anonymisation procedure, no conclusions can be drawn about drivers, vehicles or the actual distance travelled. Thus, no personal data is stored and the further processing and storage of only completely anonymised data is guaranteed.