College traffic safety evaluation method based on Bayesian maximum entropy

Abstract

The invention relates to a college traffic safety evaluation method based on Bayesian maximum entropy. The college traffic safety evaluation method comprises the following steps: S1, determining evaluation parameter indexes; s2, establishing a network topology structure and converting the network topology structure into a Bayesian network model; s3, acquiring evaluation parameter index data in theBayesian network model, determining an evaluation parameter index interval on the basis of the evaluation parameter index data, and performing processing to obtain a subjective weight value intervalof evaluation parameter indexes; s4, randomly selecting a group of subjective weight values as judgment weight values in a subjective weight value interval range; s5, performing gradient descent processing and normalization processing on the judgment weight value; s6, calculating an entropy value of the judgment weight value, judging whether the calculated entropy value meets a maximum entropy theory or not, if so, taking the judgment weight value as an objective weight of traffic safety evaluation, and if not, returning to the step S4 to continue to execute the step S4. Subjective factors areeliminated through self-learning, so that an accurate and objective quantitative safety evaluation result is obtained, and the method is good in practicability and worthy of popularization.

Description

technical field [0001] The invention belongs to the technical field of traffic safety, and in particular relates to a method for evaluating traffic safety in colleges and universities based on Bayesian maximum entropy. Background technique [0002] At present, we must realize that the campus is like a "community" or a "city" with a reduced scale. Although it is different from the complexity of the huge urban system, the campus traffic problem is becoming more and more complex and serious under the background of motorization. Judging from the reality of the current campus traffic problems, the congestion, environmental, and safety issues brought about by the development of motorization restrict the safety of students in our country's campuses. [0003] From the point of view of the existing theories related to university campus planning, most of them are researches on campus space planning and campus architectural design, and they focus more on systematic research in the fiel...

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Problems solved by technology

[0003] From the point of view of the existing theories related to university campus planning, most of them are researches on campus space planning and campus architectural design, focusing more on systematic research in the fields of urban design and landscape design. Relatively lacking, theoretical research is still insufficient, and a relatively comprehensive and complete theoretical system and evaluation system have not been formed

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