Taxi service level evaluation system and evaluation method based on improved cloud model

Abstract

The invention discloses a taxi service level evaluation system and method based on an improved cloud model. The evaluation system comprises an evaluation index system module, a data acquisition module, a database module, an improved cloud model evaluation module and a result visualization module, the evaluation index system module, the data acquisition module, the database module and the improvedcloud model evaluation module are connected in sequence, and finally result display is realized in the result visualization module. The evaluation method comprises the steps of data acquisition, specific evaluation, improved cloud model evaluation, subjective and objective weight, K-means clustering and the like. According to the invention, randomness and fuzziness of the evaluation process are achieved in the whole evaluation process, meanwhile, better proportionality and flexibility are achieved, the K-means clustering is used for subjective weight determination, subjectivity is guaranteed,meanwhile, distribution of original data is reserved, a calculation result is more scientific and reasonable, and in combination with a variable coefficient method of initial weight determination, thesubjective and objective fusion of the whole evaluation is realized.

Description

technical field [0001] The invention belongs to the technical field of taxi service quality, and relates to taxi service quality rating intelligent system technology, more specifically, relates to a taxi service level evaluation system and evaluation method based on an improved cloud model. Background technique [0002] As an important means of transportation for urban travel, taxis share the burden of urban travel with public transport. Faced with the sharp increase in traffic pressure, the operating speed of buses is severely restricted by traffic congestion, and measures such as number restrictions limit the proportion of private car travel to a certain extent. Therefore, taxis have become the best way for people on business trips and local residents to go out. In order to better assist buses to share traffic demand and promote the healthy and stable development of the taxi industry, the evaluation of the taxi industry is particularly important. [0003] At present, the...

AI Technical Summary

Problems solved by technology

[0003] At present, the evaluation of taxis mostly uses random questionnaires to select urban residents, and conducts index evaluations based on previous riding experiences, which cannot guarantee the authenticity and effectiveness of the intuitive ride experience.

The evaluation does not include the driver's number or the vehicle's license plate number, so it cannot be effectively improved or an incentive mechanism can be established, and there is no effective guarantee for lost items and passenger safety.

In terms of weight determination, it generally only focuses on the subjectivity or objectivity of weight determination, and fails to achieve an effective combination of the two; and in the evaluation process, only fuzziness is considered, and the characteristics of randomness are not fully considered.

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