With this milestone, road safety professionals and practitioners now have access to a smarter, faster, and more consistent way to perform iRAP Star Rating assessments. Our web-based platform, Transoft AssetMAPPER®, streamlines road coding and data preparation by combining computer vision in 360° video analysis with open-source data. This approach can identify as many as 20 road attributes, defined by the iRAP method, in order to perform the safety rating score for pedestrians, cyclists, motorists, and vehicles. This empowers road authorities to easily apply the Star Rating method and inform future safety-driven road investment plans.
What is AssetMAPPER Roads?
AssetMAPPER Roads is an accredited inspection system that enables both
AiRAP and manual road coding for Star Ratings within a single, integrated environment:
AiRAP Road Coding
Automatically code 20 road attributes using computer vision and open-source data.
Manual Road Coding
Review, edit, and complete the full 50+ attributes required for Star Ratings.
Visualize Hotspots
Identify hot spots for vehicles, pedestrians, motorcyclists, and cyclists by combining Star Ratings and crash data.
Why iRAP Star Ratings Matter
iRAP Star Ratings is the best-in-class proactive road assessment methodology used by 124 countries. They help governments, road agencies, and funders prioritize maintenance, design safer infrastructure, and reduce road trauma for all users.
Star Ratings predict road safety risk for vehicles, pedestrians, motorcyclists, and cyclists. Ratings range from 1 star (least safe) to 5 stars (safest). Each additional star means fewer crashes, fewer lives lost, and up to 50% in crash cost reductions. With AssetMAPPER, the process of getting there is now faster, more reliable, and highly scalable.
How AssetMAPPER Works
Who can AssetMAPPER help?
Road safety consultants and transportation agencies
conducting iRAP road assessments and seeking to reduce coding time, minimize human error, and deliver consistent, high-quality Star Ratings with computer vision powered automation.
Funding organizations and development banks
supporting road safety programs and infrastructure investments that require evidence-based data and scalable assessment methods aligned with global road safety standards.
Transportation authorities and policy makers
responsible for network-wide safety evaluations and data-driven prioritization of infrastructure improvements to reduce traffic fatalities and injuries.

