The invention belongs to the technical field of
data processing, and particularly relates to a
vehicle brake reminding method and
system based on
big data, and the method comprises the steps: collecting environment data around a vehicle through a sensor in the vehicle, and collecting historical driving data, including driving habits of a driver, a
vehicle driving track and a
road congestion condition; formats of data from different sources are unified, subsequent
processing and analysis are facilitated, and data from different sensors and
external data sources are fused; based on the driving state of the current vehicle and the surrounding environment data, the
road congestion condition and the accident
occurrence probability are analyzed in real time, a
machine learning or
deep learning model is utilized, historical data and real-
time data are combined, and the necessity and the emergency degree of braking under the current
road condition are evaluated; according to the real-time analysis result and the
brake risk assessment, whether the driver needs to be reminded to
brake is determined, and the effects of predicting possible
brake risks in the future, reminding the driver to pay attention to the front
road condition and taking necessary precautionary measures are achieved.