IMMS honoured with Best Demo Night Award for contribution to e-mobility

At the ”Conference on Design & Architectures for Signal & Image Processing“ (DASIP) in Cracow, Poland, on 23rd September, 2015, IMMS was honoured with the Best Demo Night Award for its contribution ”Wireless Sensor Networks for Traffic Applications: Challenges and Solutions“.

With the help of a slot car racing track supplemented by sensors IMMS made the results tangible which had been developed within the „Smart Mobility in Thüringen“ project. The wireless sensor system developed by IMMS will contribute to e-mobility: Electric vehicles have a shorter range and longer ”electrical filling up“ times than do conventional vehicles. For optimum navigation as regards trip time and distance travelled, it is important to have up-to-date local information: details of traffic jams, battery charging prices and destination accessibility.

In the sMobiliTy project IMMS’ role was the R&D on a sensor system to register such data as the number, type and speed of the vehicles. The magnetic field sensors relied on by the Institute serve to measure traffic flow on the ”tactile road“. Passively, the system registers local changes to the earth’s magnetic field caused by passing vehicles. From what is detected, the vehicle type can be classified and its speed determined. The particular system solution which IMMS has developed registers this data wirelessly, collects it in a gateway near to grouped detectors and then sends it to a data concentrator in the traffic control centre of the model town, Erfurt, in central Germany. There, data capture methods already in place are complemented with the new wireless sensor network including 168 detectors and 19 gateways which were installed in April 2015 for field tests.

The honoured demonstrator will be available for extensive tests during the “Long Night of the Sciences” on 6th November 2015 at IMMS Erfurt.

Award-winning work: Elena Chervakova, Sven Engelhardt, Marco Goetze, Michael Rink, Axl Schreiber: Wireless Sensor Networks for Traffic Applications. Challenges and Solutions.