According to reports, Gao De established a machine learning model for the AI version of the stagnant water map, inputting the authoritative, detailed real-time and historical meteorological data provided by the China Meteorological Administration, and combining the inherent road big data, high traffic data, Historical data, user UGC reporting data, etc., according to the algorithm model for data analysis and mining.
When bad weather occurs, the model can intelligently and timely predict the serious road water points in the city and generate water incidents on the Gaode map. Finally, there will be a large number of high-level users for each water incident. Credibility verification, and then again improve the accuracy of water information.
When users see water incidents, they can avoid the road ahead of schedule to avoid road congestion or vehicle wading. If the user does not notice the accumulated water information, Gaode map can also promptly remind the affected travel users in many ways. , And help them avoid the relevant wading road sections in time when planning and navigating.
Gaode data shows that Gaode Transportation and Road Big Data have covered more than 360 cities and all highways in the country, and accumulated 8.2 million kilometers of navigational road data. Only 400 kinds of road attribute information are available. Gao De also owns national In most of the cities, the UGC reports hundreds of thousands of water incidents each year.
In the follow-up, Gaode will continue to introduce more authoritative data on traffic control, flood control and other management departments, and continue to optimize this AI model to provide users with more timely and accurate information on the road's accumulated water to ensure safe travel of users.
It is understood that the AI version of the Jishui map will first be launched in 17 cities including Shenzhen, Guangzhou, Wuhan, Nanjing, Zhengzhou and Changsha, and will follow up more cities across the country.