Method for Comprehensive Evaluation of Urban Smart Traffic Management System Based on the 2-tuple Linguistic Neutrosophic Numbers

Authors

  • Yaping Liu 1Department of Urban Mass Transit, Hebei Jiaotong Vocational and Technical College, Shijiazhuang 050035, China
  • Huicong Wang Department of Road and Bridge Engineering, Hebei Jiaotong Vocational and Technical College, Shijiazhuang, 050091, China
  • Dong Li Center for Quality Management, Hebei Jiaotong Vocational and Technical College, Shijiazhuang 050035, Hebei, China
  • Yanqi Hou 4 Jinxing Intercity Railway Co., Ltd., Langfang, 065000, Hebei, China

Keywords:

Multiple attribute decision making (MADM); 2TLNS; GRA method; Urban smart traffic management system(USTMS)

Abstract

In the process of the rapid development of big data and the Internet of Things in recent
years, in order to create a "strong transportation" construction goals, intelligent transportation
projects have become the key carrier of the development of China's transportation industry, the
national and local transportation level, economic development and the improvement of people's
living standards have an important role. However, although the construction of intelligent
transportation projects around the world is in full swing, but the actual operation effect is not ideal.
The comprehensive evaluation of urban smart traffic management systems (USTMS) is a classical
MADM issues. In this paper, the MADM issues are studied with defined 2-tuple linguistic
neutrosophic sets (2TLNSs). Then, connected traditional GRA with 2TLNSs, the 2TLNN-GRA
method is elaborated for MADM. Finally, an example for comprehensive evaluation of USTMS was
given and some comparisons was elaborated the 2TLNN-GRA method

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Published

2023-01-01

Issue

Vol. 53 (2023): Neutrosophic Sets and Systems

Section

SI#1,2024: Neutrosophical Advancements And Their Impact on Research

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

 Creative Commons Attribution (CC BY) license.

How to Cite

Yaping Liu, Huicong Wang, Dong Li, & Yanqi Hou. (2023). Method for Comprehensive Evaluation of Urban Smart Traffic Management System Based on the 2-tuple Linguistic Neutrosophic Numbers. Neutrosophic Sets and Systems, 53, 75-96. http://fs.unm.edu/nss8/index.php/111/article/view/3214