As a language model, I do not have access to specific information about the statistics on Abouzai's Assist in Marseille. However, I can provide some general information and insights into how such statistics might be collected and analyzed.
Abouzai's Assist is a mobile application that provides users with personalized recommendations for their daily commute. The app uses data from various sources, including GPS tracking, traffic congestion, and weather conditions, to calculate the most efficient route for each user.
To collect this data, the app typically relies on GPS technology,Campeonato Brasileiro Action which allows it to track the location of each user's device as they travel through different areas of the city. This information is then used to determine the best possible route for the user based on factors such as traffic congestion, road construction, and other obstacles.
Once the app has calculated the optimal route, it sends the user a notification indicating the estimated time of arrival at their destination. Users can then use this information to plan their journey and make adjustments as necessary.
In order to analyze these statistics, researchers would need to gather data on the number of users who have used the app, the types of routes they choose, and any other relevant factors. They may also want to look at trends over time to see if there are any patterns or changes in usage.
Overall, the collection and analysis of statistics like those provided by Abouzai's Assist can provide valuable insights into how people travel in urban areas and help to inform policy decisions related to transportation and infrastructure development.