Clean Technologies and Environmental Policy ( IF 4.2 ) Pub Date : 2021-02-19 , DOI: 10.1007/s10098-020-02020-9 Daniela Paddeu 1 , Jozef Denby 1
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Governments, industry and academia are paying high attention to autonomous vehicles and platooning, due to their high potential to transform public and private transport and reduce carbon emissions generated by road transport. The road freight sector is expected to be an early adopter of the autonomous technology due to the potential cost reduction for logistics companies. However, despite the expected fuel savings and polluting emission reductions due to truck platooning, actual benefits would strongly depend on the adopted technology and the operational conditions of the system. This paper investigates the potential for truck platooning to reduce carbon emissions from road freight, presenting a series of scenarios that vary by adoption rates, operational models and platoon size. Scenarios were co-designed with freight stakeholders to build a Truck Platooning Roadmap (2025–2050), considering a specific case study: the UK. Polluting emissions and related external costs are calculated across the different scenarios. Results show that there is high uncertainty for the adoption of truck platooning, with a potential first phase involving a small pool of low-automated trucks, and a second phase with a larger pool of high-automated trucks, reflecting higher economic and environmental benefits. A series of other technological and policy considerations are presented to support policymakers to draw a zero-carbon road freight strategy.
Graphic abstract
中文翻译：
公路货运脱碳：卡车自动化和队列化是一个机会吗？
政府、工业界和学术界正在高度关注自动驾驶汽车和队列，因为它们具有改变公共和私人交通以及减少道路交通产生的碳排放的巨大潜力。由于物流公司可能降低成本，预计公路货运部门将成为自动驾驶技术的早期采用者。然而，尽管卡车列队行驶可以节省燃料并减少污染排放，但实际收益很大程度上取决于所采用的技术和系统的运行条件。本文研究了卡车编队减少公路货运碳排放的潜力，提出了一系列因采用率、运营模式和编队规模而异的情景。情景与货运利益相关者共同设计，以制定卡车编队路线图（2025-2050），并考虑到一个具体案例研究：英国。污染排放和相关的外部成本是在不同的情景下计算的。结果表明，卡车编队的采用存在很大的不确定性，第一阶段可能涉及少量低自动化卡车，第二阶段可能涉及更多高自动化卡车，反映了更高的经济和环境效益。提出了一系列其他技术和政策考虑，以支持政策制定者制定零碳公路货运战略。结果表明，卡车编队的采用存在很大的不确定性，第一阶段可能涉及少量低自动化卡车，第二阶段可能涉及更多高自动化卡车，反映了更高的经济和环境效益。提出了一系列其他技术和政策考虑，以支持政策制定者制定零碳公路货运战略。结果表明，卡车编队的采用存在很大的不确定性，第一阶段可能涉及少量低自动化卡车，第二阶段可能涉及更多高自动化卡车，反映了更高的经济和环境效益。提出了一系列其他技术和政策考虑，以支持政策制定者制定零碳公路货运战略。
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