Exploring the Role of Autonomous Trucks in Addressing Challenges within the Trucking Industry: A Comprehensive Review

IF 2.3 4区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Systems Pub Date : 2024-08-23 DOI:10.3390/systems12090320
Ali Hasiri, Amirhassan Kermanshah
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Abstract

The trucking industry, a vital part of the economic structure, faces numerous challenges such as greenhouse gas emissions, labor-related issues, fluctuating fuel costs, and safety concerns. These challenges intensify as the industry expands to meet growing demand. The advent of artificial intelligence has led to the development of autonomous trucks, which are seen as a promising solution to these ongoing issues. This study is the first comprehensive review of literature on autonomous trucks, organized by theme and research method. Studies are initially categorized based on the timeline of the issues investigated, divided into two main subcategories: foundational aspects of autonomous truck implementation and practical implementation and economic analysis of autonomous trucks. Research on the foundational aspects of autonomous trucks is further divided into four categories: (1) Acceptance surveys, (2) Identification of barriers, (3) Core technologies for autonomous trucks implementation, and (4) Predictions of adoption rates. Research on practical and economical aspects of autonomous trucks falls into three subcategories: (1) Infrastructure, (2) Systemic performance optimization, and (3) Cost estimation. To enhance the accuracy of this review, a more detailed classification was conducted on two specific subcategories: core technologies for autonomous truck implementation and systemic performance optimization. Additionally, the studies were also categorized based on their research methods and assumptions, which include accurate descriptions of autonomous technology, data collection methods, assumptions about the study environment, the fuel type of autonomous trucks, and approach to analysis: simultaneous or separate. This comprehensive review of the literature offers a roadmap for researchers, aiding them in identifying unique and novel research topics, thereby propelling the advancement of autonomous trucks as a viable solution to numerous challenges in the trucking industry.
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探索自动驾驶卡车在应对卡车运输业挑战中的作用:全面回顾
作为经济结构的重要组成部分,卡车运输业面临着诸多挑战,如温室气体排放、劳动力相关问题、燃料成本波动和安全问题。随着该行业不断扩大以满足日益增长的需求,这些挑战也随之加剧。人工智能的出现推动了自动驾驶卡车的发展,而自动驾驶卡车被视为解决这些持续存在的问题的可行方案。本研究首次全面回顾了有关自动驾驶卡车的文献,并按主题和研究方法进行了整理。研究根据所调查问题的时间轴进行了初步分类,主要分为两大类:自主卡车实施的基础方面以及自主卡车的实际实施和经济分析。关于自动驾驶卡车基础方面的研究又分为四类:(1) 接受度调查;(2) 障碍识别;(3) 自动驾驶卡车实施的核心技术;(4) 采用率预测。有关自动驾驶卡车实用性和经济性方面的研究分为三个子类别:(1) 基础设施,(2) 系统性能优化,以及 (3) 成本估算。为了提高本综述的准确性,我们对两个特定的子类别进行了更详细的分类:自动驾驶卡车实施的核心技术和系统性能优化。此外,还根据研究方法和假设对研究进行了分类,其中包括自主技术的准确描述、数据收集方法、研究环境假设、自主卡车的燃料类型以及分析方法:同步分析还是单独分析。这份全面的文献综述为研究人员提供了一个路线图,帮助他们确定独特而新颖的研究课题,从而推动自主卡车的发展,使其成为解决卡车运输行业众多挑战的可行方案。
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来源期刊
Systems
Systems Decision Sciences-Information Systems and Management
CiteScore
2.80
自引率
15.80%
发文量
204
审稿时长
11 weeks
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