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Simulation of Automobile Safety Distance Protection Based on Python Software

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DOI: 10.23977/ICISCETC2023.045

Author(s)

Zhengyi Lan

Corresponding Author

Zhengyi Lan

ABSTRACT

To address the shortcomings of existing models in calculating the distance between the front and rear of a car during driving, this paper proposes a minimum safe distance model for preventing rear end collisions. This model improves the accuracy of the minimum safe distance and effectively enhances the utilization rate of highways by increasing algorithm search angles, deleting redundant nodes, and improving evaluation functions. A preliminary analysis is conducted on the braking process of preventing rear end collisions in automobiles, as well as the factors affecting braking distance. Finally, by improving the algorithm function, the control algorithm of innovative technology is implemented to achieve the effect of avoiding collisions.

KEYWORDS

Python, Vehicle safety distance, Protection simulation, Analysis

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