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Carbon emissions reductions in last mile and grocery deliveries utilizing air and ground autonomous vehicles

机译:利用空气和地面自治车辆的最后一英里和杂货交付碳排放减少

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摘要

The rapid growth of e-commerce and package deliveries across the globe is demanding new solutions to meet customers' desire for more and faster deliveries. New driverless air and ground vehicles are being launched and tested to deliver products or services in the areas of retail, groceries, and healthcare. This research focuses on the efficiency of autonomous (driverless) air and ground delivery vehicles in terms of vehicle-miles, energy consumption, and CO2 emissions. Three types of autonomous vehicle are analyzed: drones or unmanned aerial vehicles (UAVs), sidewalk autonomous delivery robots (SADRs), and road autonomous delivery robots (RADRs). The CO2 emissions of these autonomous vehicles are compared against emissions from an electric van (e-van), a conventional internal combustion engine van, and driving to a store utilizing electric and conventional vehicles. The impacts of vehicle capacity, range, and time constraints are analyzed as well as the impacts of number of deliveries, service time, area of service, and depot-service area distance. Novel results are found regarding the efficiency of each vehicle type and tradeoffs between driving to a store and store delivery as a function of order size and type of vehicle driven by consumers.
机译:全球电子商务和包裹交付的快速增长要求新的解决方案满足客户的欲望,越来越快。正在推出并测试新的无人驾驶空中和地面车辆,以在零售,杂货和医疗保健领域提供产品或服务。本研究侧重于车辆里程,能耗和二氧化碳排放方面自主(无人驾驶)空气和地面送货车的效率。分析了三种类型的自主车辆:无人机或无人驾驶飞行器(无人机),人行道自主输送机器人(Sadrs)和道路自主输送机器人(Radrs)。将这些自治车辆的二氧化碳排放与电纸板(E-VAN),传统内燃机货车的排放进行比较,并将其驱动到利用电动车辆和传统车辆的商店。分析了车辆容量,范围和时间约束的影响以及交付,服务时间,服务区域和仓库服务区域距离的影响。发现了关于每个车辆类型和在商店之间的权衡的效率的效率的新颖结果,作为由消费者驱动的订单尺寸和车辆类型的函数。

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