Car drivers

One of the problems faced by every road safety body is that the consequences of drink driving are abstract to people that have never felt them. It’s hard to imagine losing your licence, ending up in prison, killing someone, or being left with permanent disabilities because most of us have never experienced these things. We can logically understand them, but we don’t feel them. For the first time, using Virtual Reality, we could create a shocking and deeply resonant immersive experience and make these consequences feel real.
Data collected by the organisation showed that there had been a resurgence in drink driving in Ireland. A legacy of historical anti-drink driving advertising had reduced the behaviour, but a new cohort of younger people, who have never been exposed to it, were drinking and driving anew. These findings instigated creating a campaign to help reduce this worrying trend against younger adult males who considered themselves invincible and immune to road traffic collisions. For the first time, using Virtual Reality (VR), we could create a shocking and deeply resonant immersive experience and make these consequences feel real.
Our response was ‘Consequences’: a cut-through VR experience that toured the country and challenged the user by putting them in the shoes of a drunk driver, bringing this serious message home in a completely new and immersive way. Different storylines allowed the user to experience the full extent of the agonising consequences of drink driving—from injury to prosecution.

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

The challenges we were addressing included:
1. An increase in road fatalities and serious injuries on Irish roads
2. A high number of fatalities in urban areas (between 2018 and 2022 27% of fatalities occurred on an urban road, while 53% of serious injuries occurred on an urban road?
3. Moderate public and political support for lower default speed limits in urban areas. 68% of adults said they would be in favour of them on one or more road., There was only three in situ at the campaign's inception.
Research shows the high risk of speed when a pedestrian or cyclist is hit at 50km/h they have a 50% chance of living or hit at 60kmh, and that chance drops to 10%.
Our challenge was to develop a 30k town campaign to raise awareness of the benefits of a lower default speed limit in urban areas in a bid to garner public support for the implementation of an increased number throughout the country and thus help lower road fatalities and serious injuries in urban areas.
The video shows safe interaction between a number of road users to raise awareness of how lowering the speed limit in urban areas can lead to safer, greener, more livable towns and communities.

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.