Waiting at a red light? Annoying!
Many traffic light systems already adapt intelligently to the current traffic volume, thus avoiding long tailbacks, especially on busy roads. To further reduce the pollution caused by braking, idling and starting, the individual car is to be linked even better with the traffic light system. Audi's "Traffic Light Information" system detects the rhythm of the traffic lights and recommends that drivers gradually reduce their speed, enabling them to catch the next green phase with an efficient driving style. This system is being implemented in more and more cities worldwide (in Germany, for example, in Düsseldorf and Ingolstadt).
Worry-free driving through real-time processing.
Intelligent data processing in real time also has exciting applications in many other areas. In navigation systems, for example. These no longer just calculate the optimal route, taking into account the current traffic situation, but also forecast the expected traffic in order to detect traffic jams at an early stage. If a traffic jam nevertheless occurs, different alternative routes are then suggested to road users so that the traffic jam does not shift to the detours.
The annoying search for a parking space should also be made easier. Linking geographic, demographic and social data makes it possible to estimate parking space utilization in specific areas. Regions that are expected to be highly frequented at a certain time (e.g., the immediate vicinity to a sports field on Sunday mornings) are directly excluded when searching for parking spaces.
Optimization of delivery and storage time.
There are many other innovations and ideas that will continue to change the automotive world in the long term. But there is always a common denominator and it quickly becomes clear:
Data is worth its weight in gold.
But what data is actually collected and processed?
First of all, every vehicle can be clearly assigned to an owner or driver by means of chassis number and license plate. Within the vehicle, a rough division can be made into operational and comfort data. While the full potential of Big Data can be exploited for the latter by linking the vehicle with external hardware and software, monitoring vehicle status information can also save a lot of costs. For example, repairs that need to be carried out can be identified at an early stage and spare parts can be ordered at the right time to reduce delivery and storage costs.
Competitive advantages through data.
The major OEMs such as Audi, BMW, Daimler and VW are of course already investing heavily in Big Data to gain a competitive edge. Within seven years, the amount of digital data generated annually is forecast to increase fivefold by 2025 (to 175 zettabytes).1 Car dealerships and workshops must not miss out on this trend either.
However, it is still unclear how the secure transmission of technical vehicle data to third parties will be regulated. Will the manufacturers decide on access rights or will the data be made accessible to all market participants without barriers? The VDA and ADAC in particular have controversial opinions on this.
Turn data into gold!
But how do you actually convert data into gold?
This is done by processing raw data collected by numerous sensors in the car. Intelligent algorithms and business intelligence tools are used to discover undiscovered correlations and to better understand human behavior by creating concrete usage profiles. The advantage for companies is that they can improve products and services through the newly gained knowledge and optimize the customer's user experience.
Within our "Customer & Business Solutions" product portfolio, we focus intensively on the topics of business intelligence, data preparation and predictive analytics. We offer you comprehensive data analysis capabilities and visualize the results for you in a targeted manner using individual dashboards. This gives you the opportunity to uncover previously unrecognized potential and provide your customers with an even better experience of your product throughout their entire customer journey.
1 Statista, 2020