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Machine Learning Theory and Practice, 2021, 2(1); doi: 10.38007/ML.2021.020106.

Variable-weight Multi-target Adaptive Cruise Control Strategy based on Naive Bayes Algorithm

Author(s)

Ahthasham Ullah

Corresponding Author:
Ahthasham Ullah
Affiliation(s)

Bangladesh University of Engineering and Technology, Bangladesh

Abstract

Multi object adaptive cruise control system is a new type of assistant driving system, which can reduce the occurrence of traffic accidents and ensure the safety rate of people and vehicles during driving. This paper summarizes the concept of Naive Bayes algorithm and control system, proposes an improved Naive Bayes classification algorithm and adaptive cruise system strategy, analyzes the constant speed cruise mode, and conducts experiments on the classification effect of the improved Naive Bayes classification algorithm. The results show that, in contrast, only one attribute satisfies the condition.

Keywords

Naive Bayesian Algorithm, Multi-target, Adaptive Cruise Control System, Constant Speed Cruise Mode

Cite This Paper

Ahthasham Ullah. Variable-weight Multi-target Adaptive Cruise Control Strategy based on Naive Bayes Algorithm. Machine Learning Theory and Practice (2021), Vol. 2, Issue 1: 47-54. https://doi.org/10.38007/ML.2021.020106.

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