Knowledge building and sharing

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.

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.

We are solving the two main unsettled topics in Camera and LiDAR Systems and human vision in traffic situations. The internally developed Visibility Label, featuring a new universally applicable reference color, addresses the first topic, which is the lack of a universal method for quantifying the visibility of complex shapes such as cars, bikes, and busses. Crystal Glass Pigments provide a solution for the second unresolved issue, focusing on improving the functionality (i.e. visibility) of coatings on vehicles. By formulating new colors with this innovative additive, the coatings become significantly better visible for camera systems, human vision at night, and LiDAR systems 24/7.

The initiative “NEAR – New Education Approaches for Road Safety” is supported by 4 organisations from 4 countries to strengthen young people’s approaches to road safety in order to prevent deaths and injuries caused by road crashes. Our major objective is to promote safe mobility for young people, to improve their attitudes, habits and behaviour in traffic and to provide psychological support to survivors of traffic collisions and young people who have lost someone close in road crashes. Among young people we identify those who have experienced collisions and, together with other young people we develop preventive, supportive and educational models aimed at improving road safety and supporting the "invisible victims".
The project emphasises the approach of active citizenship to improve traffic safety. The results of the project will enable activities that will encourage young people to take appropriate action for safe mobility. We pay special attention to young people affected by the consequences of traffic crashes.

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.

Between 2018 and 2022 there where 93 fatalities and 894 serious injury collisions in Irish roads which involved motorcyclists. No specific road safety programme aimed at motorcyclists existed at that time. It was identified that the vast majority of these collisions occurred over the Summer months and almost 50% at weekends and many involved leisure riders or those retuning to motorcycling. Ireland has a large number of rural roads, ideal for leisure riding but this also increases risk through road topography and additional hazards which adversely impact motorcycle safety compared to other road users.

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.).