用于城市食品配送的共享轻型自动驾驶汽车：一项仿真研究
Shared lightweight autonomous vehicles for urban food deliveries: A simulation study
AI总结：
针对城市食品配送中轻型自动驾驶汽车车队行为研究不足的问题，本文构建基于智能体的模型并结合剑桥市案例评估其运营与环境影响，同时提供交互式决策支持平台。
摘要：
近年来，按需配送的快速增长，尤其是在食品配送领域，推动了对创新移动出行解决方案的探索。在此背景下，轻型自动驾驶汽车已成为一种潜在替代方案。然而，其车队层面的行为在很大程度上仍未得到研究。为弥补这一空白，我们开发了一个基于智能体的模型和一项环境影响研究，以评估轻型自动驾驶食品配送车辆的车队性能。该模型探讨了车队规模、服务水平、运营策略和环境影响等关键因素。我们将该模型应用于美国马萨诸塞州剑桥市的案例研究，结果表明，用共享轻型自动驾驶汽车车队取代传统的基于汽车的配送可能会带来环境效益。最后，我们介绍了一个交互式平台，该平台提供了一种用户友好的方式来理解模型的性能和潜在权衡，这有助于在不断演变的食品配送创新格局中为决策者提供信息。
英文摘要：
In recent years, the rapid growth of on-demand deliveries, especially in food deliveries, has spurred the exploration of innovative mobility solutions. In this context, lightweight autonomous vehicles have emerged as a potential alternative. However, their fleet-level behavior remains largely unexplored. To address this gap, we have developed an agent-based model and an environmental impact study assessing the fleet performance of lightweight autonomous food delivery vehicles. This model explores critical factors such as fleet sizing, service level, operational strategies, and environmental impacts. We have applied this model to a case study in Cambridge, MA, USA, where results indicate that there could be environmental benefits in replacing traditional car-based deliveries with shared lightweight autonomous vehicle fleets. Lastly, we introduce an interactive platform that offers a user-friendly means of comprehending the model's performance and potential trade-offs, which can help inform decision-makers in the evolving landscape of food delivery innovation.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
