There are a couple of approaches to calculate road traffic on a map.
If you have 50000 connected cars you can estimate all major roads and streets, for a country like ermany if you have 10000 probe cars in tal you can estimate traffic only on highways, if you have over 100000 you can startthinking aboutaccurate traffic for minor road categories and streets. If you don't have access to real time traffic you can buy historical traffic data which can help you to estimate traffic conditions for particular week day and hours based on past traffic patterns. In addition on p of public road sensors, such an approach exists. TomTom and Here. Probe data from fleet monitoring systems, traffic data from various 3rd party data suppliers. A well-known fact that is. The rule is simple the more users and better algorithms you have the more granular and precise traffic data youprovide to end users. The best option would be to actually have someone being stuck in every traffic jam on the planet.
Microsoft has alternative approach.
Microsoft knows that it won't win the market with this product but it might be useful for corporate customers which have Microsoft's solutions integratedwithin their ERP systems… plus it's acatchy marketing news -'worldwide' traffic in Bing Maps. The system works by taking live traffic datafor main roads and streets from Nokia's Here,and extrapolating it to unreported routes. Although, last week Bing Mapslaunched 'ispredictionbased' traffic serviceworldwide. It is based on a technologywhich Microsoft calls Clearflow. The question is. The question is why would youwant to useguesstimated traffic data if you've got real time, fairly precise, service from Google or TomTom?