Evaluation of Bus Driver's Driving Behavior based on Entropy Weight TOPSIS Model
DOI:
https://doi.org/10.54097/hset.v35i.7205Keywords:
Bus GPS; K-means Clustering; Entropy Weight TOPSIS Method; Comprehensive Evaluation Model; Behavior Analysis.Abstract
In recent years, due to frequent traffic accidents caused by bus drivers' irregular driving behavior, the safe operation of buses has become the focus of social attention. How to reduce traffic safety hazards and build a smart transportation system is an urgent problem to be solved. This paper uses bus GPS data, considers seven driving behavior characteristics from the perspectives of economy, safety, and drivers themselves, and uses K-means clustering to preliminarily divide driving behavior types, and divides driving behavior into radical, general, and There are three types of caution, and a comprehensive evaluation model of driver's driving behavior based on the entropy weight TOPSIS method is proposed. By scoring the driving behavior of bus drivers, the drivers with bad driving behavior can be warned and trained in time to ensure the safety of passengers. The research results of this paper can provide a certain reference value for the establishment of a comprehensive evaluation system for bus drivers' driving behavior and the development of driving behavior training.
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