Abstract

The purpose of this study is to explore how to apply blockchain technology to intelligent transportation, create a hierarchical theoretical framework of intelligent transportation, and explore a sustainable application system of intelligent transportation under the blockchain. However, not only this hierarchical theoretical framework must consider unnecessary attributes and the interrelationships between the aspects and the criteria, but also the sustainable application system must be in consideration in multiple stakeholders. Hence, fuzzy set theory is used for screening out the unnecessary attributes, a decision-making trial and evaluation laboratory (DEMATEL) is proposed to manage the complex interrelationships among the aspects and attributes, and interpretive structural modeling (ISM) is used to divide the hierarchy and construct a hierarchical theoretical framework. Finally, the research develops a sustainable GCU application system for intelligent transportation under the blockchain. The results show that (1) solving social problems is the primary link, (2) economic tasks are mainly focused on smart contracts and affected by the social problems, (3) the continuous improvement of environmental issues requires a solution to social problems, and (4) the application system of blockchain in intelligent transportation needs to be built from three levels including the government layer, the company layer, and the user layer. This theoretical hierarchical framework aims to guide intelligent transportation toward the application of blockchain. This study also proposes the engagement of stakeholders for establishing a sustainable application system.

Highlights

  • Urban intelligent traffic aims to give full play to the carrying capacity of the road network, solve all varieties of traffic problems, and improve traffic safety and environmental protection

  • Considering the complexity and ambiguity of the relationship between various influencing factors, this paper introduces the concept of fuzzy sets and uses a semantic conversion table to perform a series of transformations on the original expert data to remove subjective factors. e hybrid decision-making trial and evaluation laboratory (DEMATEL) method is used to standardize the hybrid matrix given by the experts and obtain a hybrid comprehensive influence factor matrix by matrix calculation. en, calculate its centrality and causality to reveal the most critical factors affecting the blockchainbased intelligent transportation [35]. e DEMATEL method can calculate the importance of a specific factor in the influencing factor system, but it cannot determine the intrinsic relationship of the factors and the division of the hierarchical structure

  • In order to standardize the practice of intelligent transportation and ensure the embedding of blockchain technology, it is necessary to evaluate the rationality and standardization of the research through the expert committee. e expert committee is composed of 7 experts who have more than 8 years of experience in intelligent transportation enterprise or working in relevant departments

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Summary

Introduction

Urban intelligent traffic aims to give full play to the carrying capacity of the road network, solve all varieties of traffic problems, and improve traffic safety and environmental protection. In the field, this means using physics, computer science, Internet of ings technology, and integrated traffic information to establish a dynamic information service system to realize a rapid response to traffic problems, improve traffic conditions, and increase transport efficiency [1, 2]. Intelligent transportation will greatly improve the management of urban transportation systems to optimize the urban layout and promote the process of smart city development [3]. Existing research results include the basic underlying technologies of blockchain [6, 7], blockchain credit evaluation systems [8], and blockchain transaction

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