论文标题

物流和运输的零排放交付:挑战,研究问题和机遇

Zero-Emission Delivery for Logistics and Transportation: Challenges, Research Issues, and Opportunities

论文作者

Bukhari, J., Somanagoudar, A. G., Hou, L., Herrera, O., Merida, W.

论文摘要

从电力,制造,运输,化学或农业等各种行业生产的温室气体是全球变暖的主要来源。尽管运输业是主要三大贡献者之一,但占全球排放量的16.2%。为了解决这个问题,许多国家通过用可再生能源代替化石燃料来积极反应以实现净或绝对的零排放目标。为了响应这项倡议,本章对零发射车辆在包装交付的特定用例中的使用进行了系统的审查。它首先比较了使用无人驾驶汽车,电动汽车和燃油电池卡车的不同绿色输送系统。具体而言,无人驾驶飞机和地面电动卡车的协调设置了一个新的地面零排放车辆的范式,无人驾驶飞机可以在空气中飞行以外的视觉线之外的视觉线,并赋予未来的无线无线技术。用于包装交付的零发射车辆的集成将在分析,建模,计划和设计绿色物流系统方面遇到许多挑战。本章从技术,环境,经济和政治角度从现有的研究问题采用零排放车辆中调查了这些挑战。此外,这项研究还提供了有关人工智能和零排放交付的集成解决方案的新研究观点。

Greenhouse gas, produced from various industries such as Power, Manufacturing, Transport, Chemical, or Agriculture, is the major source of global warming. While the transport industry is among the top three major contributors, accounting for 16.2% of global emissions. To counter this, many countries are responding actively to achieve net or absolute zero-emission goals by replacing fossil fuel with renewable energy sources. In response to this initiative, this chapter provides a systematic review of the use of zero-emission vehicles for a specific use case of package delivery. It first compares different green delivery systems that use unmanned aerial vehicles, electric vehicles, and fuel-cell trucks for certain weight categories. Specifically, a coordination of unmanned aerial vehicle and ground-based electric truck envisions a new paradigm of ground-based zero-emission vehicles where unmanned aerial vehicles can fly in the air beyond the visual line of sight empowered by future-generation wireless technologies. The integration of zero-emission vehicles for package delivery will encounter many challenges in analyzing, modelling, planning, and designing a green logistics system. This chapter investigates these challenges in the adoption of zero-emission vehicles with the existing research issues from a technical, environmental, economic, and political point of view. In addition, this study also sheds a new research perspective on artificial intelligence and integrated solutions for zero-emission deliveries.

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