Project Digital Street
High performance sensors with cloud-based real-time data processing for the digital street in urban and long-distance traffic
Project Duration: 01.Aug.2015 to 31.Jul.2017
Policy makers are currently supporting the digitization of the infrastructure to create intelligent mobility and the networking of the traffic types of the future. In addition to the communication between the vehicles, it is also necessary to develop the infrastructure of the "digital street".
The aim of the R&D project is to create a functional model of a total infrastructure, which, on the one hand, includes an innovative, cost-effective and mobile sensor technology for detecting and classifying vehicles and traffic data. On the other hand, a smart data platform, which processes the collected information from the point of view of real-time capability and provides it with, interfaces as required. Through the linking of the mentioned properties of the sensor technology and the possibility of the dynamic provision of interfaces, a large number of application cases can be depicted. Which go far beyond the current possibilities of traffic monitoring and control while at the same time achieving cost savings compared with existing solutions.
For example, the sensor system is also suitable for temporary assembly within building sites as well as traffic counting. But also for the construction on land and federal roads, where so far due to too high costs hardly any solutions are used. Further areas of application can be the private sector as well as the parking space monitoring at resting places.
In addition to smart sensor technology, cloud-based data analysis and processing is also highly innovative, with the important aspect of real-time capability. The basis for a multitude of heterogeneous applications is the traffic information of the sensors (traffic counts, vehicle classification, dangers, traffic jam data) in connection with scenario-specific sensors, e.g. for determining the weather conditions such as fog or fine dust pollution. These address on the one hand infrastructural problems and serve on the other hand economic and private interests. The conception and establishment of methods and tools for web based data analysis and aggregation, as well as the subsequent provision of interfaces for use through heterogeneous applications, represents, in addition to the real time capability, a further innovation compared to the current state of the art, which is also an important aspect for the success of the overall concept.