Spain
Thursday, April 24, 2025
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.
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.
Friday, April 4, 2025
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.
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.
Sunday, February 16, 2025
REMOVING TRAFFIC CONGESTION
We conducted an experiment at the JRC (Ispra, Italy) in a controlled traffic environment to ensure safety. The test consisted of a platoon of vehicles with the following configuration:
A first vehicle with a human driver following his usual behaviour on the road.
A second vehicle equipped with Adaptive Cruise Control (ACC).
Several conventional drivers keeping their safe distance.
Multiple tests were conducted with different groups of drivers, who were given inertial driving training.
The results have been surprising:
✅ Increased road safety.
✅ Significant reduction of traffic jams (better mobility).
✅ Lower fuel consumption and reduced pollutant emissions.
✅ More relaxed driving and less stress for drivers.
We conducted an experiment at the JRC (Ispra, Italy) in a controlled traffic environment to ensure safety. The test consisted of a platoon of vehicles with the following configuration:
A first vehicle with a human driver following his usual behaviour on the road.
A second vehicle equipped with Adaptive Cruise Control (ACC).
Several conventional drivers keeping their safe distance.
Multiple tests were conducted with different groups of drivers, who were given inertial driving training.
The results have been surprising:
✅ Increased road safety.
✅ Significant reduction of traffic jams (better mobility).
✅ Lower fuel consumption and reduced pollutant emissions.
✅ More relaxed driving and less stress for drivers.
Tuesday, June 25, 2024
We continually see in the media news of accidents involving cyclists.
During recent years, the use of bicycles has increased significantly and according to forecasts, this growth will continue in the coming years since many European policies are aimed at promoting the use of this vehicle as an alternative means of transport.
This increase in bicycle use is accompanied by an increase in accidents, which has caused great concern in society since this group is the only one in which the number of deaths has increased since 2010.
For this reason, SOSTRAFFIC BIKE was born as a safety element for cyclists, helping them, on the one hand, to inform other drivers of their position on the road, both visually through flashes of light and telematically via connectivity to the DGT 3.0 platform, and on the other hand, provide the contact with the best possible information for the location of the injured person and reduce the response time in locating them, which will increase the survival rate.
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On the other hand, the maps used by SOSTRAFFIC include roads and mountain trails, so in the event of a fall, the entire route taken by the cyclist will be recorded from the start and will allow for quick geolocation. This is important since in the event of a fall in the mountains, this information can be key to accessing the injured person quickly.
The SOSTRAFFIC BIKE project It is an innovative product connected to the DGT 3.0 cloud.
This device has a light to visually warn drivers of the cyclist's presence, a camera with a microphone to record everything that happens during the journey, an App linked to the device and a connection to the DGT 3.0 cloud.
When the cyclist starts the route, it sends a message to these contacts with a link where they can check his position and the route taken at a given moment. At the end of the route they receive an end of route message.
During the route, it sends the cyclist's position in real time to the DGT 3.0 cloud so that navigators, cars or any other device connected to this cloud can receive the information and alert the driver of the presence of a cyclist on the route, even if he is in a curve or area not visible to the driver.
In the event of a fall, a countdown starts which, if not deactivated, sends a message to the contacts indicating the location of the accident and the route taken by the cyclist from the beginning of the route to the fall on a 3D map (this is important especially in falls on mountain trails) and a video with sound of what happened just before, during and after the fall.
The video will allow us to identify the reason for the accident, even use it as evidence in case the vehicle flees and the images of the accident will be recorded on the SOSTRAFFIC server
If the cyclist enters an area without telephone coverage and the time that passes is greater than the preset in the App, the device automatically sends a notice with the route taken, time without coverage and possible location of the cyclist.
During recent years, the use of bicycles has increased significantly and according to forecasts, this growth will continue in the coming years since many European policies are aimed at promoting the use of this vehicle as an alternative means of transport.
This increase in bicycle use is accompanied by an increase in accidents, which has caused great concern in society since this group is the only one in which the number of deaths has increased since 2010.
For this reason, SOSTRAFFIC BIKE was born as a safety element for cyclists, helping them, on the one hand, to inform other drivers of their position on the road, both visually through flashes of light and telematically via connectivity to the DGT 3.0 platform, and on the other hand, provide the contact with the best possible information for the location of the injured person and reduce the response time in locating them, which will increase the survival rate.
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On the other hand, the maps used by SOSTRAFFIC include roads and mountain trails, so in the event of a fall, the entire route taken by the cyclist will be recorded from the start and will allow for quick geolocation. This is important since in the event of a fall in the mountains, this information can be key to accessing the injured person quickly.
The SOSTRAFFIC BIKE project It is an innovative product connected to the DGT 3.0 cloud.
This device has a light to visually warn drivers of the cyclist's presence, a camera with a microphone to record everything that happens during the journey, an App linked to the device and a connection to the DGT 3.0 cloud.
When the cyclist starts the route, it sends a message to these contacts with a link where they can check his position and the route taken at a given moment. At the end of the route they receive an end of route message.
During the route, it sends the cyclist's position in real time to the DGT 3.0 cloud so that navigators, cars or any other device connected to this cloud can receive the information and alert the driver of the presence of a cyclist on the route, even if he is in a curve or area not visible to the driver.
In the event of a fall, a countdown starts which, if not deactivated, sends a message to the contacts indicating the location of the accident and the route taken by the cyclist from the beginning of the route to the fall on a 3D map (this is important especially in falls on mountain trails) and a video with sound of what happened just before, during and after the fall.
The video will allow us to identify the reason for the accident, even use it as evidence in case the vehicle flees and the images of the accident will be recorded on the SOSTRAFFIC server
If the cyclist enters an area without telephone coverage and the time that passes is greater than the preset in the App, the device automatically sends a notice with the route taken, time without coverage and possible location of the cyclist.
Monday, June 24, 2024
Con el objeto de llegar a los objetivos de la Visión Cero de reducir la siniestralidad en las vías ha surgido la nueva normativa GSR-II, con la cual pasa a ser obligatoria la incorporación de nuevos elementos de seguridad activa en los vehículos europeos. Esta normativa comienza a aplicarse a partir de julio de 2024 para todos los vehículos nuevos, entre los que se encuentran los autobuses, pero ¿qué hay de las flotas que ya se encuentran en circulación?
Los autobuses urbanos suponen un medio de transporte eficaz para desplazarse, siendo en este sentido EMT Madrid un elemento básico de movilidad en la capital española. La edad media de las flotas en España, de unos 11,5 años según la AEFA, señala que el periodo de tiempo que pasará hasta que la totalidad de la flota que se encuentra en circulación cuente con los sistemas de seguridad activa necesarios para reducir los riesgos de su convivencia con los usuarios vulnerables en la vía puede ser mayor al deseado.
Para poder acercar estas soluciones a los vehículos que ya se encuentran en circulación, acelerando su proceso de optimización y alargando el uso y evitando su obsolescencia, Sistemas ADAS ha trabajado junto a la EMT Madrid y a los desarrolladores de esta tecnología para adaptarla a dichos vehículos.
Los autobuses urbanos suponen un medio de transporte eficaz para desplazarse, siendo en este sentido EMT Madrid un elemento básico de movilidad en la capital española. La edad media de las flotas en España, de unos 11,5 años según la AEFA, señala que el periodo de tiempo que pasará hasta que la totalidad de la flota que se encuentra en circulación cuente con los sistemas de seguridad activa necesarios para reducir los riesgos de su convivencia con los usuarios vulnerables en la vía puede ser mayor al deseado.
Para poder acercar estas soluciones a los vehículos que ya se encuentran en circulación, acelerando su proceso de optimización y alargando el uso y evitando su obsolescencia, Sistemas ADAS ha trabajado junto a la EMT Madrid y a los desarrolladores de esta tecnología para adaptarla a dichos vehículos.
Thursday, June 20, 2024
The safety and interaction of cyclists during infrastructure conservation and repair works are significantly impacted by changes made, potentially leading to new conflicts between cyclist traffic and vehicles.
The BIKEFLOW project's objective is to enhance cyclist safety in critical areas identified within modified sections during ongoing conservation efforts. By employing video analytics and Artificial Intelligence, we can examine the movements and potential interactions of cyclists and vehicles. This technology utilizes video analysis to forecast safety levels before incidents happen, enabling the identification of vehicles, routes, and speeds, with the capability to present data in real-time or upon request. In light of these analyses, permanent cameras have been installed at the junction of N-110 and N-502 to conduct surrogate safety assessments. This involves applying various configurations to the route to analyze the behavior of road users (both vehicles and cyclists) and to train an AI model that determines the most suitable layout configuration. The findings are then applied to adjust signage, lower speed limits, establish protected lanes at critical junctures, or modify paths as necessary.
The BIKEFLOW project's objective is to enhance cyclist safety in critical areas identified within modified sections during ongoing conservation efforts. By employing video analytics and Artificial Intelligence, we can examine the movements and potential interactions of cyclists and vehicles. This technology utilizes video analysis to forecast safety levels before incidents happen, enabling the identification of vehicles, routes, and speeds, with the capability to present data in real-time or upon request. In light of these analyses, permanent cameras have been installed at the junction of N-110 and N-502 to conduct surrogate safety assessments. This involves applying various configurations to the route to analyze the behavior of road users (both vehicles and cyclists) and to train an AI model that determines the most suitable layout configuration. The findings are then applied to adjust signage, lower speed limits, establish protected lanes at critical junctures, or modify paths as necessary.
Monday, June 17, 2024
Our experience shows that most road accidents are caused by human error. Various analyses carried out by ALSA show that most road accidents are caused by inappropriate driver behaviour.
In order to manage road safety proactively, it is necessary to have a detailed and rigorous knowledge of the performance and behaviour of each driver in order to know their skills and behaviours, as well as to track their evolution over time.
To this end, ALSA has invested in technology in more than 3,700 vehicles in Spain that allows us to measure speeding, monitor various parameters that reflect driving style and detect various driver behaviours using innovative smart camera technology.
These smart cameras are based on "machine vision” and "artificial intelligence" (MV+IA) systems, which allow us to detect 40 types of driver behaviour and are particularly noteworthy for their innovation.
The data provided by the aforementioned technologies is used to calculate the risk profile of each driver. ALSA defines personalised actions for each driver: training, assignment to certain vehicles and routes, greater follow-up and monitoring, etc.
In addition, each driver has access to the data available on their own performance through an internal app (called "MiAlsa"). In this way, drivers can consult information on their own performance (consumption, driving styles, speeding, incidents, etc.).
In order to manage road safety proactively, it is necessary to have a detailed and rigorous knowledge of the performance and behaviour of each driver in order to know their skills and behaviours, as well as to track their evolution over time.
To this end, ALSA has invested in technology in more than 3,700 vehicles in Spain that allows us to measure speeding, monitor various parameters that reflect driving style and detect various driver behaviours using innovative smart camera technology.
These smart cameras are based on "machine vision” and "artificial intelligence" (MV+IA) systems, which allow us to detect 40 types of driver behaviour and are particularly noteworthy for their innovation.
The data provided by the aforementioned technologies is used to calculate the risk profile of each driver. ALSA defines personalised actions for each driver: training, assignment to certain vehicles and routes, greater follow-up and monitoring, etc.
In addition, each driver has access to the data available on their own performance through an internal app (called "MiAlsa"). In this way, drivers can consult information on their own performance (consumption, driving styles, speeding, incidents, etc.).