Comprehensive Evaluation of Driver′s Propensity Based on Evidence Theory | Zendy

Zhang Jing-lei | Zendy; Xiaoyuan Wang | Zendy; Song Gao | Zendy; Song Yi-qing | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Comprehensive Evaluation of Driver′s Propensity Based on Evidence Theory

Author(s) -

Zhang Jing-lei,

Xiaoyuan Wang,

Song Gao,

Song Yi-qing

Publication year - 2012

Publication title -

discrete dynamics in nature and society

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.264

H-Index - 39

eISSN - 1607-887X

pISSN - 1026-0226

DOI - 10.1155/2012/103582

Subject(s) - computer science , index (typography) , propensity score matching , operations research , risk analysis (engineering) , statistics , mathematics , business , world wide web

Traffic safety is related closely with driver’s physiological and psychological characteristics. And the influence on traffic safety is represented as driver’s propensity. Evidence theory is introduced to the evaluation system of driver’s propensity in this paper, and it is utilized to combine the expert opinions, which can eliminate unavoidable uncertain elements in the traditional appraisal methods. The appraisal problems of subjective index can also be resolved by this method in the appraisal system. Results show that the method is objective and reasonable, and driver’s propensity can be evaluated effectively

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research