Risk Projection Maps

Identify Elevated Risk Areas with AI-Powered Insights 

Michelin Mobility Intelligence Risk Projection Maps leverage powerful AI models to understand what road risks may happen – before they do. Our Risk Projection Maps analyze real-world driving behavior, road features, elevated-risk patterns, and road network geometry to highlight where crashes are more likely to occur, empowering you to manage risks proactively.*

We offer two risk projection solutions to
meet the unique needs of our clients
Vehicular Risk Map - Identify high-risk vehicular corridors

Vehicular Risk Map

Provides a clear view of high-risk vehicular corridor clusters based on driver behavior, identifying potential crash hotspots. 

Vulnerable Road Users - Identify high-risk areas for pedestrians and cyclists

Vulnerable Road User Risk Map

Provides a clear view of high-risk areas based on vulnerable road users (pedestrians and cyclists), adjacency and habits in areas of your road network.  

Vehicular Risk Map

Identify Potential Crash Hotspots**

Vehicular Risk Map gif

Our Vehicular Risk Map is ideal for agencies, firms, and road safety professionals looking to work smarter with AI to identify and address high-risk driving areas. 

Validate

Validate

Validate high-risk intersections and
corridors with additional data. 

Identify

Identify

Identify areas and opportunities to test or deploy traffic calming measures.  

Evaluate

Evaluate

Evaluate the impact of nearby
developments on intersections. 

Vulnerable Road User Risk Map

Help Protect Pedestrians and Cyclists

Vulnerable Road Users Map gif

Our Vulnerable Road User Risk Map helps agencies and firms use AI-powered data to support risk-reduction planning in areas with high pedestrian and cyclist traffic.

Conduct

Conduct

Conduct a school zone study.

Inform

Inform

Inform active transportation and Vision Zero plans.

Identify

Identify

Identify hidden risk factor to vulnerable road users.

Evaluate

Evaluate

Evaluate the impact of nearby developments for all road users. 

Get a Clear View of Risk
Through the Power of AI. 
Learn More

Deeper Insights for Bigger Impact

Agencies, firms, and organizations across the U.S. use Michelin Mobility Intelligence Risk Projection Maps to gain
deeper insight into risky driving behaviors and vulnerable road users:    

Civil engineering firms icon

Civil engineering firms

Universities icon

Universities

State and local transportation agencies icon

State and local
transportation agencies

Metropolitan Planning Organizations (MPOs)  icon

Metropolitan Planning Organizations (MPOs) 

City and municipal traffic safety teams icon

City and municipal traffic
safety teams

Road authorities and infrastructure planners icon

Road authorities and
infrastructure planners

Vision Zero program leaders icon

Vision Zero
program leaders

Private-sector transportation and mobility organizations icon

Private-sector transportation
and mobility organizations

Case Study: City of Ottawa
Case Study: City of Ottawa
Safer Roads, Smarter City: Ottawa’s collaboration with Michelin Mobility Intelligence

Michelin Safer Roads helps the City of Ottawa, Ontario locate their crash hotspots and become proactive in making changes before collisions occur.

Read the full Case Study >

Case Study: WA Traffic Safety Commission
Case Study: WA Traffic Safety Commission
Driving Safer Roads: A Collaborative Approach

In 2024, we partnered with the Governors Highway Safety Association to award grants to three states, enhancing traffic safety with near real-time insights.

Read the full Case Study >

Case Study: Nevada DOT
Case Study: Nevada DOT
Analyzing Vulnerable Road User Risk

By integrating DOT crash data with years of driving behavior data, we created a clear map of the riskiest areas for VRUs across Nevada.

Read the full Case Study >

Identify Risks Through 
Predictive Analytics and AI  
Book a demo to talk to our team and learn how Risk Projection Maps can help you improve your roads. 
Book a Demo

*Risk Projection Maps provide AI-generated risk indicators based on available driving-behavior and roadway-context data. Not a guarantee of future crashes. Results may vary; professional judgment and additional data validation recommended.

**Performance depends on data availability and region.