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In this paper, the Doppler effect is introduced into the communication between vehicles to detect the cars that are likely to make car crash. Besides, the behaviors and information of the coming vehicles can be promptly obtained using the Doppler effect without the need of vision. In the past, the vehicle used GPS for positioning and navigating. The information received at that time was different from the actual situation, so the target object could not be accurately located. Thus, the past GPS-based positioning can only serve as an auxiliary function and has no guarantee for the safety of the vehicle. As the fifth generation of mobile communications is about to be released, it is expected to overcome many problems, including intelligent control system and data signal time delay, which will further improve the precision positioning technology. If the vehicle is equipped with Doppler radar, it can evaluate the collision with other vehicles in advance and give the driver a warning before the collision, allowing the driver to make a clear and safe response and decision in advance. The reason why we use the Doppler radar is because vehicles can transmit information in real time, such as distance, relative speed, etc. Therefore, the purpose of this paper is to find the vehicles that have no brakes and are likely to collide with us at the intersection.

Inverse packet sets is a set model with dynamic characteristics, which is got by introducing dynamic characteristics into Cantor set $$ X $$ and improving Cantor $$ X $$ . By using inverse packet sets to improve the concept of ordinary augmented matrix, the structure of internal inverse packet augmented matrix, outer inverse packet augmented matrix and inverse packet augmented matrix are given. Internal inverse packet augmented matrix reasoning, outer inverse packet augmented matrix reasoning, inverse packet augmented matrix reasoning and reasoning model are given. Finally intelligent dynamic separating-acquisition of information is given. By using these theoretical results, the application of intelligent dynamic separating-acquisition of educational information is given. Inverse packet matrix reasoning provides a new theory and new method for mining and acquisition of dynamic educational information. This is also a successful teaching demonstration on the research of matrix Teaching.

Function packet set is a dynamic model of information law, which introduces function concept into packet set and improves it; function packet set is a function set pair composed of function internal packet set $$ S^{{\bar{F}}} $$ and function outer packet set $$ S^{F} $$ ; or, $$ (S^{{\bar{F}}} ,S^{F} ) $$ is a function packet set. Packet reasoning is a dynamic reasoning generated from packet set, and it’s composed of internal packet reasoning and outer packet reasoning. This paper introduces function into packet reasoning, improves packet reasoning and gives packet information law reasoning; by cross-penetration of function outer packet set with outer packet information law reasoning, the studies on intelligent fusion of outer packet information law and its outer separating are given. The generating of outer packet information law reasoning of intelligent fusion of outer packet information law, intelligent fusion of outer packet information law with attribute conjunctive reduction theorem, outer separating and reducing of intelligent fusion of outer packet information law and outer separating of intelligent fusion of outer packet information law with discovery-application of unknown information law are given in this paper.