Join the iRAP and Omdena Challenge preventing road crashes and saving lives

https://omdena.com/projects/ai-road-safety/

AI-based solutions to map crash risk and generate iRAP star rating attribute data will be the focus of a great new partnership as part of the Omdena 8-week challenge that will be launched on November 17.

Aspiring students, data scientists, ML and data engineers, and domain experts from around the world are invited to join with 50 AI and machine learning engineers focussed on finding a solution for the accelerated and intelligent collection and coding of road attribute data (Ai-RAP) to save lives.

The Problem
Road crashes are the biggest killer of young people worldwide aged 5 to 29 years. The tragedy of death and injury impacts every community on earth. Based on current trends 500 million people will suffer life-changing brain, spinal, limb, and internal injuries or be killed in road crashes between now and 2030. The economic cost will be more than US$25 trillion. Almost half of those killed will be vulnerable road users – motorcyclists, bicyclists, and pedestrians. Low-income and middle-income countries, where nine out of ten of the world’s road deaths occur, will suffer the most impact from this global road safety crisis.

The Solution
Ai-RAP has the potential to reduce the time and effort required to undertake road safety assessments, reduce costs, improve accuracy and ideally make data available for every road and every journey on earth. The Ai-RAP Omdena initiative aims to unlock this potential with the following goals:

• Source geo-located crash data and produce iRAP Risk Maps of the historical crashes per kilometre and crashes per kilometre travelled for each road user
• Source road attribute, traffic flow, and speed data to the iRAP global standard and map the safety performance and Star Rating of more than 100 million km of road worldwide
• Produce repeatable road infrastructure key performance indicators that can form the basis of annual performance tracking

The Project
The project team will analyze the problem from various angles to prioritize for impact and feasibility. Different task groups will identify innovative ways to collect and augment multiple data sources. Through Omdena’s unique collaborative processes and fast iteration cycles, best-fit models will be built and presented back to iRAP.

Omdena runs 8-week intensive AI projects to tackle real-world problems through global collaboration. Its network includes 1,550 collaborators across 84 countries working on 34 projects involving 350,000 hours of work.

iRAP CEO Rob McInerney said, “This project is hugely exciting. The Omdena-iRAP Challenge will unleash the equivalent of 400 weeks of collaborative and focused problem-solving of the world’s top AI experts crammed into 8 short weeks.Together with iRAP’s global partnerships and Star Rating models, Ai-RAP has the potential to put this road safety data at the fingertips of road authorities, policy-makers, investors, and road users worldwide. Together we can save thousands of lives every year,” he said.

To read more on the Omdena-iRAP Challenge or apply to be involved, click here.

Read more on Ai-RAP here.

An example of potential Ai-RAP source and coded data is provided below:

50 AI experts from 22 countries (33% women) united to kick off the iRAP Omdena Challenge on 17 November. These brilliant minds will work for 8 weeks to explore AI solutions to save lives on safer roads.