Public authorities

Veilig Over is een initiatief dat ernaar streeft voetgangers veilig te laten oversteken en dat bovendien iedereen toestaat om ook zélf aan te duiden waar er nood is aan een veilige oversteekplaats, via een onlineplatform veiligover.be. Samen oversteken veilig maken, dat is de ambitie van ‘Veilig Over’. Dit doen we met een unieke samenwerking met lokale en regionale overheden & burgerparticipatie en citizen sciene & wetenschappelijke evaluatie (met Vias institute). Dit alles met als resultaat: de concrete verwezenlijking van een veilige oversteekplaats op het terrein!

Driving in the wrong direction (commonly referred to as “kamikaze driving”) is one of the most dangerous incidents on roads and highways. In Spain alone, according to the Spanish Traffic Management Center (DGT), over 300 wrong-way driving incidents are reported each year. Studies show that wrong-way crashes are up to 27 times more likely to result in fatality compared to other types of highway accidents.
This type of incident often stems from driver confusion, impairment (e.g., alcohol or drugs), or poor signage, and poses a critical challenge for traffic safety authorities and infrastructure operators across Europe.
PROIN-iWrongWay is an intelligent traffic safety system designed to detect vehicles driving in the wrong direction on roads and highways. The system uses real-time monitoring to identify reverse traffic incidents and immediately activates roadside warning signals to alert the driver. Simultaneously, it notifies local authorities for rapid response and incident management.
The system is fully connected to PROIN’s IoT platform (ProinCloud), enabling remote monitoring, data analytics, and system diagnostics. It also integrates seamlessly with external smart city and ITS platforms such as Sentilo and others, ensuring full interoperability.
Moreover, PROIN-iWrongWay is connected to DGT, allowing for direct coordination and enhanced national-level traffic control.

Una delle sfide principali riguarda una cultura radicata che privilegia l'uso dell'automobile, scoraggiando l'adozione di mezzi pubblici e di trasporti alternativi. Questo comportamento si riflette in un mancato rispetto delle normative del codice della strada. Inoltre, c'è una scarsa attenzione verso la protezione degli utenti più vulnerabili, come pedoni e ciclisti. Questo atteggiamento compromette la vivibilità della città, che viene vissuta più come un luogo di transito che come uno spazio di incontro e socializzazione.

Road safety in Europe and worldwide is still tragically compromised by a high number of accidents and avoidable loss of human lives.

This is compounded by the worrying frequency of vehicle recalls for brake problems, with over 3 million units affected in just two years (ANSA data), a symptom of an intrinsic vulnerability in current systems.

The dependence on rare materials in traditional braking systems and new technologies not only creates economic instability but also generates significant geopolitical implications.

Furthermore, there remains a lack of a reliable and universal mechanical solution capable of improving braking and ensuring safety in the event of failure.

These challenges highlight the urgent need for innovative solutions like DUOBBRAK, capable of overcoming the limitations of current systems, despite the resistance, and mostly the indifference, encountered in promoting it within the industry, accelerators, and public and private institutions

Guardrails installed on road bridges are essential to the safety of vehicles and road users. May accidents happen every year, involving vehicles falling from bridges with often fatal consequences. These issues have caused, in Italy, in the last decade, more fatalities than bridge collapses, even if we count the Morandi bridge collapse victims.
Many infrastructure managers, especially at the local level, often lack accurate and up-to-date inventories of the safety barriers on their bridges. Moreover, the limited availability of financial resources, combined with the lack of personnel, makes it difficult for these entities to effectively assess the condition of such critical infrastructure. This proposed technology is represented by an integrated methodology to automate the assessment of road guardrails installed on bridges using open-source data and deep learning (DL) algorithms. It innovatively uses YOLO (You Only Look Once) object detection algorithm to classify the safety barriers to establish whether they match the current standards. To speed up the evaluation process, the software tool involves the extraction of bridge information from OpenStreetMap (OSM) to construct a database of existing bridges, which most road management bodies miss. This is integrated with Google Street View API, for the extraction of images of each bridge’s safety barriers to be analysed by YOLO. The synergic concatenation of these three steps (OSM, Google Street View, YOLO) into a unique software tool, provides road managers with a cost-effective and efficient tool to remotely survey the guardrails installed on their bridges, permitting to timely identify bridges needing barrier replacment.

The C•AUTO project addresses several persistent and emerging road safety challenges, particularly within urban environments. One of the main problems we focus on is excessive vehicle speed in sensitive areas such as school zones, hospitals, pedestrian crossings, and high-risk intersections. Despite existing signage and infrastructure, speeding remains a leading cause of accidents, particularly those involving vulnerable road users like children, the elderly, and cyclists.

Another key issue is the lack of adaptive and proactive tools to manage traffic behavior in real-time. Current solutions often react after incidents occur, rather than preventing them. C•AUTO proposes an innovative approach through the deployment of intelligent electric vehicles that function as mobile “City Safety Cars.” These vehicles travel at regulated speeds and use predictive data to position themselves strategically in urban areas with higher accident risk.

Furthermore, C•AUTO tackles the challenge of building a shared safety culture. It aims to influence driver behavior through presence, not punishment—creating an environment of passive regulation, education, and visual deterrence rather than relying solely on fines or enforcement.

By addressing both infrastructural gaps and behavioral aspects, C•AUTO contributes to achieving the Vision Zero goal of eliminating fatalities and serious injuries on our roads.

Valerann is tackling critical road safety challenges associated with complexity and criticality of road traffic management and road safety.
Traditional road monitoring systems often rely heavily on fixed infrastructure, which can be limited in coverage and responsiveness. The increase of data sources (CAV, crowdsourced data, navigation apps etc) brings an opportunity to enrich situational awareness of TMCs; but it also brings a challenge of data fragmentation, data overload and confusion as deliver high volumes of unstructured data and false positives, overwhelming operators and delaying meaningful action. In response, Valerann deployed Lanternn by Valerann™, an AI-powered data fusion platform that transforms how traffic data is collected, processed, and acted upon. The key safety challenge being addressed is the speed and accuracy of incident detection. Delays in identifying road incidents can increase the risk of secondary collisions, congestion, and response inefficiency. LbV synthesises diverse data sources—floating car data, roadside sensors, navigation apps, weather feeds, and even social media—into a single coherent operational picture. This fusion allows for earlier detection of accidents, faster validation, and more efficient emergency response. The system not only enhances situational awareness but also supports smarter infrastructure planning by highlighting patterns and bottlenecks. Ultimately, Valerann is modernising traffic management for safer, more resilient roads without the need for costly physical infrastructure expansion.

In 2022, 2.017 fatalities happened in the EU where cyclists have been involved representing 10% of all road fatalities.
More than 60% of all accidents between motor vehicles and bicycles occur when turning and crossing because bicycles are not illuminated from the side and the modern front and rear lights fitted emit a very focussed light that cannot be seen from the side.
The side reflectors, which are also mandatory, are only visible when they are illuminated.
For these reasons, both in bad weather and in the dark, bicycles are difficult or impossible to see from the side and are therefore often not noticed when they pass a car on the right-hand side, for example in front of traffic lights.
Bicycles are also difficult to recognise when crossing a road with oncoming traffic, as the multi-LED lights used on motor vehicles today shine much brighter than previous headlights.
Another problem is that car drivers do not keep the required minimum distance. Either because they are unable to judge the correct minimum distance or because they do not recognise bicycles in the dark.
Similarly, motorists are not made aware when they fall below the minimum distance and are therefore unable to react.
Intelligent, reactive lighting systems for bicycles are therefore needed in urban traffic to indicate to motorists the minimum distance to be maintained, warn them if the minimum distance is not observed and provide permanent side lighting for the bicycle.

The overall target of the KFV podcast is to provide important and usefull tips for people who care about their personal safety and the well-being of their loved ones in the everyday life.

In each episode of the KFV podcast, two KFV experts talk for around 20 minutes about a topic from everyday life: about current issues of safe road traffic as well as accident-free relaxation during sport and exercise in nature, but also about the pitfalls of getting older as well as the turbulent life with children and teenagers.

With life experience, specialist knowledge and a good dose of humour, both moderators provide important tips and back ground information about accident risks, accident occurrence and accident prevention.

Here is a little taster of the content of the first three episodes published in March 2023, April 2023 and May 2023:


Episode 1: ‘L17: the best route to a driving licence?’

L17 is currently the most comprehensive driver training course on the way to a B driving licence. But driving the first 3,000 kilometres with your own child at the wheel can be nerve-wracking. Is the effort, courage and extra work really worth it?

On air: Monday, 11 March 2023

Episode 2: ‘Starting the motorbike season: why are masking effects life-threatening and ellipses life-saving?’

Motorcycling is back in fashion among the 40-plus generation. Since 2000, the number of motorbikes in Austria has more than doubled. But the streamlined silhouette is also the greatest danger: single-track bikes are virtually invisible in many traffic situations. How can motorcycling remain a safe pleasure?

On air: Monday, 17 April 2023


Episode 3: ‘Children & water: fascination, pleasure, risk. How to ensure water fun - with safety!’

Children and water - that means fun, but it's also a risky combination. For small children, paddling pools just a few centimetres deep can be disastrous if left unattended. What are the best safety measures for swimming pools, garden ponds and the like?

On Air: Monday, 15th May 2023

Since March 2023 the KFV Podcast has been published with a new episode once a month.