Paving the way toward vision zero with MICHELIN DDi Intersections service suite
Combining expertise in data analysis and driving behavior, MICHELIN DDi creates solutions to go beyond crash data reports allowing you to act before accidents happen. Leveraging millions of connected vehicules and using machine learning and proprietary algorithms, our Near miss service suite allows road safety officials to detect, locate and assess atypical driving behaviors indicative of potential near miss incidents.
Our ‘Crash Probability Hotspots’ service allows you to locate, assess and rank, by crash probability indicator, near miss hotspots within your road network directly on your GIS.
- Crash probability indicator
- Correlated to past crash data
- Proprietary machine learning algorithm developed by MICHELIN DDi data science team taking in account :
Atypical driving events
Past crash data
Weather and Solar Contextualization
… and much more
- Understanding of underlying driving events
- Filtering and ranking by probability indicator and road type
- Before/after comparisons
- Compatible with any GIS
Why use Michelin DDI 'Crash Probability Hotspots' service?
LEVERAGE DATA INSIGHTS
Based on millions of connected drivers, understand where and when road safety issues may arise tackling atypical driving events to complement past crash data.
All information slips onto geographic information systems, enhancing other data sets and with no other infrastructure requirements.
Justify and allocate the right resources at the right time and place based on a easily measurable new safety KPI.
Monitor and quickly valorize your actions through before / after analysis that you can create independently directly on your GIS.
How does it work? How will you be able to use our service?
LOCATE DRIVING EVENTS
Our dataset includes events that can be visualized on your GIS via GPS points, you can then pinpoint exactly where potential risky zones are located on your road network.
Understand event conditions
More than just identifying the location, we also provide the different contextual parameters such as date and time of the day and weather conditions. You are then able to analyze patterns and benefit from actionable insights.
Monthly track and report progress
Thanks to the monthly data updates, one can track progress with KPI-based facts and report proof of improvements.
A game-changing perspective to go beyond past crash data. With near miss data comes the potential to identify risky zones and act before crashes occur to reach vision zero goals.
Want to know more? Have a look at our separate near miss events offer: Harsh Braking, Harsh Acceleration, Phone Handling, Excessive Speeding and Suspected Collisions. You can also go one step further with our Near Miss Hotspots: Severity Ranking' service.