Driver assistance system
eDAS is a real time system for buses. It helps to reduce energy consumption, keep the vehicles on schedule, and reduce speeding, thus improving the service level and passenger satifaction for the entire bus line. The system has the potential to reduce energy consumption by up to 20%.
eGrip detects slippery driving conditions fast, accurately and with low cost, by using vechicles moving in the road network as sensors. The method is based on constant measuring and analyzing of data received from the CAN channel of the vehicle. The solution is software-based, with no need of installing sensor equipment or extra measures taken by the driver.
eDas reduces energy consumption, helps to keep vehicles on schedule and reduces speeding, thus improving the service level of the entire bus line. The background system can be used to manage the entire bus fleet in a centralized manner, making it possible to define the dynamics and timing of the whole bus system according to selected criteria.
VTT demonstrated the system in city buses. In the study, energy consumption was found to decrease by 5-10%, enabling the cost of the system to be covered in a very short period of time. The study showed that the system has a potential to reduce energy consuption by up to 20%. Such numbers can be reached by monitoring the performance of the drivers, for which the system offers an analysis independent of weather or traffic conditions or vehicle type. The study also showed a decrease of 80% in excessive speeding, which brings a significant improvement in service quality and safety, and reduces damage costs. Driving ahead of schedule diminished, and passenger satisfaction improved in the buses where the system was used.
The logic of the driver assistance system can also be used to actively manage the vehicles, e.g. by either restricting their functions or by automating them.
Slippery traffic conditions can be detected quickly, accurately and with low cost by utilizing vehicles on the road network as sensors. The method is based on continuos measuring and analyzing data derived from the CAN channel of the vehicle. The solution relies on software, and as such, no sensor equipment needs to be installed in the vehicle, neither does it require any additional actions from the driver. Due to this, the method can easily be introduced to a large number of vehicles with moderate costs. Slipperiness data produced by the vehicles can be gathered and used for winter maintenance needs, and also presented to road users in any desired format, such as direct slipperiness alerts or visualizations in a map interface. Extensive slipperiness data can also be used for public notification services and commercial added value services.
The market for slipperiness detection includes both all users of heavy vehicles that act as sensors and their operators, as well as other parties benefiting from traffic slipperiness information. These parties include authorities, road management operators, road weather service providers, navigator servicce providers, vehicle manufacturers, suppliers of vehicle systems, and insurance companies.
Geographically, slipperiness information is relevant not only in the cold but also in the moderate zone, for example in central Europe, where slipperiness occurs more rarely, but also more surprisingly, and with serious consequences. A significant number of people, also road users, live in these regions.
As an example of slipperiness detection, real time slipperiness data is offered to the operator to be utilized directly in the vehicle, for instance when it is about to reach a slippery portion of the road, but simultaneously also to road weather and road maintenance service providers.