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What is AiRAP?

Data is increasingly considered as critical to addressing the global road safety crisis. The UN Second Decade of Action aims to halve fatal and serious injury road crashes by 2030. For this to happen, the tools and methods used to assess and address high risk roads need to become integrated into every aspect of a road network’s planning, design, investment, construction, management and maintenance.

The AiRAP initiative was conceived by iRAP in 2019 to help improve access to, and application of, existing and emerging data sources globally, including advances in artificial intelligence, machine learning, vision systems, LIDAR, telematics and other data sources. AiRAP stands for the ‘accelerated and intelligent’ capture of road safety-related data using automatic, repeatable and scalable methods to support road safety assessment, crash risk mapping, investment prioritisation for all road users.

 iRAP’s new AiRAP accreditation ensures this data meets iRAP’s common global standard, which is already being used globally for recording of road features that impact road safety to streamline and benchmark performance.

How do I become an AiRAP data supplier?

iRAP has established a new AiRAP accreditation for the conversion of source data into iRAP attribute data. The AiRAP accreditation process will ensure data suppliers produce data in accordance with iRAP’s global standard format, regardless of the source of the data.

The accreditation process removes the need for complex data processing and storage for the data consumer. It also provides an understanding of the  reliability of the data for different geographic regions, area types and road types, as well as when and how the data should be used. The process is flexible and accommodates data derived from different types of source data, as well as different collection and processing methods.

AiRAP news:

Join us at TRB Washington

iRAP Global Technical Director James Bradford will be at the Transportation Research Board (TRB) 103rd Annual Meeting next week in Washington DC, sharing iRAP insights and partner activity, and collaborating with leading US and international agencies for safer roads...

15 PhD positions open for AI in Road Safety: IVORY

The IVORY network has opened 15 fully funded PhD positions covering all aspects of AI in road safety - engineering, human factors, computer science, ethics of technology, and more - with applications due by 30 January. Would you like to make an impact in the reduction...

AiRAP showcased at iRASTE NXT India

IndiaRAP Technical Manager Jigesh Bhavsar shared the life-saving potential of AiRAP at the iRASTE NXT Conference last week. The event is India’s premier technology-for-road-safety conference demonstrating the proven effectiveness of AI-based systems. Launched in 2021,...

Anditi awarded largest ever AiRAP contract by Main Roads WA

Following previous successful pilot projects for Main Roads Western Australia, Anditi is delighted to announce that it has been awarded the contract for the provision of point cloud feature extraction services across 19,164km of Main Roads Western Australia’s road...

AiRAP automation for Australian road safety: Final results

Article and image credit: iMOVE The now completed Australian iMOVE project Accelerated and intelligent RAP data collection was a world-leading piece of work in the area of capturing road feature data for road safety star ratings, and a final report on the project,...

AusRAP news: ITE-ANZ webinar shares iRAP Practical Investments Saving Lives

Inspirational life-saving success was shared yesterday by the Victorian Department of Transport and Planning, Main Roads Western Australia and iRAP at an Institute of Transportation Engineers (ITE-ANZ) webinar on iRAP Practical Investments Saving Lives. Guest...

AusRAP news: Main Roads WA adopts AiRAP road assessment technology

Main Roads Western Australia (MRWA) and Anditi have revolutionised road safety assessments with an approach that automatically detects road infrastructure data applied on 2,000km of roads in their goal of Star Rating 80% of the State’s most travelled network, An...

Pioneering Use of AI Scoops Prince Michael Royal Road Safety Award

Image credit (above and below): Chris Fossey Phtotography An innovative project, harnessing satellite imagery to understand road network safety has been recognised by the Prince Michael International Road Safety Awards. With funding from the World Bank’s Global Road...

Mark your diary and set aside your travel budget: We’re off to Prague in 2023!

The 2023 iRAP Innovation Workshop will be held 5-6 October 2023 at the Prague Congress Centre, Czech Republic. It is being held in association with the XXVIITH World Road Congress from 2-6 October being organised by PIARC (World Road Association) and the Czech Road...

AiRAP and fleet management potential explored at NETS

Fleet manager and insurance company interest in using Star Rating data to improve organisational health and safety was explored at this week’s NETS Conference in Miami. iRAP CEO Rob McInerney presented at the Network of Employers for Traffic Safety (NETS) Annual...

Announcing another new ‘AiRAP’ accredited supplier – Agilysis Ltd.

We are delighted to announce that the UK firm Agilysis has received AiRAP attribute accreditation for its methods to produce operating speed and vehicle flow (AADT) data from Earth Observation (satellite) imagery in accordance with iRAP specifications. The new source...

Show me the way: Big Data reveals highest-risk schools in Vietnam

In three Vietnamese cities homing over 9 million people, how can we begin to identify the highest risk school zones and the children who use them daily to tackle the leading killer of youth – road traffic crashes. The answer? Big Data. A Big Data Screening Methodology...

Announcing a new ‘AiRAP’ accredited supplier – Anditi Pty Ltd

We are delighted to announce that the Australian firm Anditi has received AiRAP attribute accreditation for its methods to produce road attribute data from LiDAR and 360 degree imagery in accordance with iRAP specifications. The new source data can be used to produce...

Big data and youth voices: AI&Me celebrates its 1st anniversary for safer schools in Vietnam

Mobility has a different definition for every person around the world. Some of us take cars and motorbikes to bring their children to school. Other students can walk or ride their bicycle. No matter how we move, mobility is at the heart of our society, and our future...

Catch us on Podcast: NETS Talk Now, Driving Change

iRAP is proud to feature on this month's NETS Talk Now: Driving Change Podcast discussing the impact of road infrastructure safety for fleet and community safety worldwide. Guest presenter and iRAP CEO Rob McInerney said, "There is one thing everyone worldwide has in...

AiRAP presented at Global Standards Symposium calling for technical standards to support socio-economic and environmental goals

iRAP was proud to present this week, alongside UN Special Envoy for Road Safety Jean Todt, global AI innovators and the International Telecommunication Union (ITU) at the Fourth Global Standards Symposium (GSS) calling for technical standards to support progress...

iRAP featured in Revista Carreteras Magazine: “Creating a world where every journey is safe. A Tragedy Every Minute.”

Thanks to the Spanish Road Association (Asociación Española de la Carretera) for its 9-page feature on iRAP "Creating a world where every journey is safe. A Tragedy Every Minute" in the latest issue 234 of Revista Carreteras Magazine. The magazine reaches 12,000...

VíaSegura: Digital technology for improving road safety

Reproduced from IDB's Moviliblog According to the World Health Organization (WHO), traffic crashes are responsible for 1.35 million deaths worldwide. Traffic fatalities are an avoidable public health crisis that particularly impacts low- and middle-income countries....

Benefit of AI in proactive road infrastructure safety management: ITF findings published

Findings of the International Transport Forum (ITF) 187 Roundtable on Artificial Intelligence (AI) in Proactive Road Infrastructure Safety Management have been published noting the important potential and role of AiRAP. AI pushes the limits of pattern recognition...

First Accredited Inspection System for LIDAR

Anditi’s Roadviewer is the 16th iRAP accredited inspection system and the first in the world that allows users to code Star Rating attributes based on 3D mobile LiDAR data. RoadViewer uses existing data captured by TomTom as part of its global mobile mapping (MoMa)...

AiRAP R&D projects

AiRAP is being piloted as part of a number of research and innovation projects globally.

The Leveraging Artificial Intelligence and Big Data to Enhance Safety Analysis research project will investigate the use of artificial intelligence (AI), machine learning (ML) and Big Data (BD) to improve the visibility of existing network conditions with a focus on road and exposure features influencing the safety of all road users across the entire road network.

The AiRAP Automation for Australian Road Safety project is funded by iMOVE CRC and supported by the Cooperative Research Centres program, an Australian Government initiative. The project will deliver 20,000 kilometres of road attribute data for the state road network in New South Wales using TomTom’s MN-R data, as well as prove feature extraction techniques and machine learning for LiDAR data.

The AI&Me Empowering Youth for Safer Roads project is funded by Fondation Botnar and supported by the FIA Foundation. The project is using big data and AI to map pedestrian risk around 1,000 schools in Vietnam and develop an app to connect young voices with decision-makers for safer roads.

The Regional Road Safety Observatories (RRSOs) Road Safety data collection in LMICs project is funded by the World Bank. The project piloted the use of satellite data, amongst others, to map where 75% of travel occurs across two countries, Kenya and Ethiopia, and trialed the detection of speed, flow and other physical road features for the measuring and monitoring of road safety key performance indicators (KPIs).

In partnership iRAP, the IDB has developed VíaSegura, a digital initiative to assess road infrastructure safety. The tool focuses on evaluating a set of variables used in the Star Rating methodology.

In early 2021, more than 30 machine learning engineers, subject matter experts, and mentors collaborated as part of an Omdena challenge to work towards iRAP’s vision of “a world free of high-risk roads. The project, titled Using Convolutional Neural Networks To Improve Road Safety And Save Lives, built AI based solutions to increase road safety by mapping the crash risk on roads.

The European Commission CEF funded project SLAIN (Saving Lives Assessing and Improving TEN-T road Network safety) aims to extend the skills and knowledge base of partners in performing network-wide road assessment. Deliverables 7.3 and 7.4 relate to the methodology and improvement of automatic road-attribute coding for network-wide assessments.

For more information

Please contact:
Monica Olyslagers
Global Innovation Manager and Cities Specialist

Andrejus Laugman
Technical Development Manager

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