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The Technical Day held at Braslovče Primary School on February 23, 2024, in collaboration with the VOZIM Institute, was both practical and educational. The students were first introduced to the DRAJV app and analyzed traffic safety in the municipality. During the event, they created posters and presented proposals to improve safety, which were also supported by Mayor Tomaž Žohar. The students participated in activities at seven stations, including an e-scooter simulator and workshops led by representatives from the Police, the Braslovče Fire Department, and the Žalec Health Center. The VOZIM Institute ambassador, Janez Hudej, shared his personal story about a traffic accident, which gave the students a deeper insight into the seriousness of road safety. The event emphasized the importance of involving young people in shaping road safety solutions.

The event focuses on an initiative aimed at improving road safety for young people, especially e-scooter and e-bike users. A survey by Zavarovalnica Triglav showed that only a little over half of young people feel safe when riding an e-scooter, and many have already experienced accidents. The lack of protective clothing, helmets, and reflective accessories contributes to greater risks. In the "Ne bluzi, z glavo kruzi" (Don’t Play It Cool, Use Your Head) initiative, the Vozim Institute, Zavarovalnica Triglav, and Yootree Creative agency collaborated to encourage safer e-scooter use among young people. By working with design students, they created a unique collection, "Dejmo se videt" (Let's Be Seen), of reflective clothing that combines safety with modern style. The collection was presented on October 17, 2024, at Ljubljana Fashion Week.The students used innovative reflective materials to design fashionable yet safe products. The collection was presented at Ljubljana Fashion Week, where it gained significant attention. The goal was to raise awareness about the importance of visibility in traffic, especially during the autumn and winter months. The initiative continues with workshops and public events, aiming for the products to become part of young people’s everyday style. The main goal of the initiative is to reduce the risk of accidents and encourage young people to prioritize safety while maintaining their personal style.

We’re addressing multiple road safety problems:`

- Improving the work safety of road inspectors by reducing time being physically in the middle of the road and reducing multitasking while driving.
- Improving road safety for cars, motorcycles and bicyclist by reducing potholes and defect road inventory such as faded road signs, damaged bollards, etc.
- Improving road safety for pedestrians by mapping crosswalks with worn-out lane markings as well as pavement uplift that causes people to fall.

Image examples can be found attached

Zavarovalnica Triglav od leta 2015 ponuja mobilno aplikacijo DRAJV, ki spodbuja in nagrajuje varno vožnjo. Aplikacija z uporabo tehnologij telematike spremlja hitrost vožnje, premike telefona in sile med vožnjo. Aplikacija DRAJV prispeva k varnejši vožnji z nadzorom hitrosti, analiziranjem voznih navad in ozaveščanjem uporabnikov, kar zmanjšuje tveganja za nastanek prometnih nesreč, ki ostajajo globalen izziv. Glavni vzrok prometnih nesreč v Sloveniji je še vedno neprilagojena hitrost vožnje, aplikacija DRAJV pa tako s spodbujanjem vožnje s primerno hitrostjo pozitivno vpliva na prometno varnost, saj so aplikacijo DRAJV na svojih vožnjah uporabili vozniki 8-10 % vseh osebnih vozil v Sloveniji.

En večjih globalnih problemov je tudi uporaba mobilnega telefona med vožnjo, kar povzroča neosredotočenost na dogajanje v prometu in močno povečuje tveganja za nastanek prometne nesreče. Aplikacija DRAJV spremlja in ocenjuje tudi pogostost uporabe telefona med vožnjo in nagrajuje voznike, ki telefona med vožnjo ne uporabljajo.

Aplikacija DRAJV obravnava glavne izzive varnosti na cestah, kot so prekoračitve hitrosti, uporaba telefona, sunkovita pospeševanja, zaviranja in vožnje v ovinek. Aplikacija je posebej prilagojena tudi za voznike motornih koles in tako spodbuja varno vožnjo motoristov, ki so med najbolj ranljivimi udeleženci v prometu.

Na podlagi anonimiziranih podatkov voženj uporabnikov, ki so skupno prevozili več kot 1,6 milijarde kilometrov, smo izdelali tudi interaktivno spletno orodje »DRAJV zemljevid«, ki identificira nevarne cestne odseke v Sloveniji z vidika hitrosti vožnje in drugih parametrov, ki jih spremlja aplikacija DRAJV.

The Mobilidata program addresses the lack of centralized, timely and qualitative real time traffic warnings in the G2B2C ecosystem.

To fulfil the need of road users to receive and be able to cooperate with (return) real time traffic warnings, Mobilidata implemented for the entire Flanders- region and on the entire public road network the European defined C-ROADS standardized Cooperation model of C-ITS or Cooperative ITS. In Mobilidata 31 different use cases are addressed – see overview of all use cases under 7.2 -images

Mobilidata is the Flanders hub where real time road safety related information comes together from these sources:
• Governmental regional and local level: e.g. roadside infrastructure like traffic controllers, variable message signs,
• Private/corporate level: e.g. Directive 2010/40/EU, EU specified SRTI (safety related traffic information) - vehicle sensor based real time warnings.
• Road user ‘community’ based: Events reported, and event feedback generated by road users.

Each of these 3 source information systems has its strengths and weaknesses, offering a neutral environment where they can be combined and distributed to all interested in a non-commercial setting is possible in a road-safety promoting context.

Road safety information in Mobilidata can be clustered in 3 subgroups per topic in the 29 on-street use case list + an extra subgroup of 2 off-street policy related use cases:
• Road regulation & policies
• Warnings / dangerous situations
• Connected infrastructure / traffic lights

Governments and administration need to do more to improve road safety. But, the statistics for road traffic accidents are still shocking. Around 90% of all road accidents are caused by human error. That means every year, about a million people die because of other people's mistakes, carelessness, or irresponsibility. So it makes you wonder, are we doing good enough for road safety? Safe Driving, aims to help and informing whole road users about every single issue in Road Traffic from A to Z.

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.

Asociatia Drum Sigur analyzed and researched the following design errors:
- incorrect use of signs for yielding priority in intersections (Give Way and Stop signs) (error found in most countries of the world)
- the formulas used to calculate the length of acceleration/deceleration lanes at road junctions are incorrect (they do not take into account the impact of heavy vehicle traffic, as well as the volume of traffic flows) (error found worldwide)
- the use of staggered pedestrian crossings at traffic lighted intersections has negative effects on pedestrian traffic in most cases. (case analysis for all the staggered pedestrian crossings in Bucharest)
- identification of design and execution errors for T-type intersections, roundabouts, turbo-roundabouts or interchanges in some cities in Romania.
- analyzing some design errors on certain streets in Bucharest and proposing measures to improve road safety and traffic flow.

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.).