For many, the bike is more than a sport. It is a lifestyle. A way to live those Sundays with friends of the club. To get up at dawn to train. The illusion to overcome, to reach a new goal.
But there are also hours and hours on secondary roads, living with the risk, with the possibility of having an accident. Because almost all cycling fans have suffered at some time in their lives, either directly or through a partner, the experience of a traffic accident.
An IoT Solution for Accident Prevention
Most accidents occur with the involvement of a vehicle and on secondary roads, in which cyclists are one of the most vulnerable groups. Fortunately, technology has a lot to say in terms of road safety.
It is a solution created jointly by the DGT, Telefónica, SEAT, Aeorum, and Ficosa to provide drivers with assisted driving that increases their safety, by receiving notices in advance about obstacles to be found on the road. Specifically, the pilot has been tested for cases of a cyclist and a vehicle parked on the shoulder.
Luis Simón Gómez, Head of New Business and Innovation IoT of Telefónica, explains what this innovative solution consists of: “It is an Internet solution of things where we have four components: a drone with a camera that allows information to be collected, Road images. Second, that drone is connected to the mobile network and sends the information in real-time. That information reaches a server, which is the third component, an MEC, where it is processed and we are able to identify the risks. And fourth, once these risks have been identified, the MEC sends an alert to the connected cars that are travelling in that direction. ”
Real-time Driver Alerts
The first thing that catches our attention is immediacy. If we talk about accident prevention, the immediacy of communication with the vehicle is essential. But how do you get it? Leticia López, an expert in Vehicular Communications of Telefónica tells us that “ what makes this solution possible are incredible advances in mobile connectivity. Both at the capacity level, especially at the upload link, and at the latency level ”.
Instead of a single server, in edge computing, the servers multiply looking for proximity to the place where the user is. “We will have several servers distributed geographically. MEC is one of the great pillars of future 5G networks and the good news is that we can start deploying it already in today’s networks, 4G, ”explains Leticia.
Intelligent Servers With Multiple Users
We also wonder how it is possible for the MEC to be able to distinguish between a cyclist, a stationary car or any other obstacle. And, again, the answer is in technology. The processing capacity of the MEC that Leticia talks about is based in this case on an artificial vision system capable of identifying what type of risk it is, and machine learning capabilities that enable the training of the system to learn, evolve and be increasingly precise. This system, as well as the drone, is contributed in this solution by the Malaga- based company Aeorum.