Predictive Analytics in Self-Driving Cars
Forecasting is the sub-set of predictive analytics. Forecasting has the element of time in the data. Historical time series data is required to build a forecasting model. Combining these two elements, predictive analytics is the basis of self-driving car innovation. The application of prediction to clone human behavior in self-driving cars the common “approach to mimic the actions of human drivers” (Gu, Li, Di, & Shi, 2020, para.1). Unlike humans who are relying on previous and current experience, self-driving cars rely on previous and current data to learned from and construct patterns. Gained information are input instructions to safely “drive” cars in the simple and complex car driving environments. Self-driving cars, therefore, are trained using “training data” to predict future events on the road. Self-driving cars use machine learning algorithms that are able to take data from different sources (including reading maps) to predict upcoming road trajectori...