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Simulation study on the fleet performance of shared autonomous bicycles
arXiv - CS - Computers and Society Pub Date : 2021-06-17 , DOI: arxiv-2106.09694
Naroa Coretti Sánchez, Iñigo Martinez, Luis Alonso Pastor, Kent Larson

Rethinking cities is now more imperative than ever, as society is facing challenges such as population growth and climate change. The design of cities can not be abstracted from the design of its mobility system, and, therefore, efficient solutions must be found to transport people and goods throughout the city in an ecological way. An autonomous bicycle-sharing system that combines the benefits of vehicle sharing, electrification, autonomy, and micro-mobility could increase the efficiency and convenience of bicycle-sharing systems incentivizing more people to bike and enjoy their cities in an environmentally friendly way. Due to the uniqueness and radical novelty of introducing autonomous driving technology into bicycle-sharing systems and the inherent complexity of these systems, there is a need to quantify the potential impact of autonomy on fleet performance and user experience. This paper presents an ad-hoc agent-based, discrete event simulator that provides an in-depth understanding of the fleet behavior of autonomous bicycle-sharing systems in the most realistic possible scenarios, including a rebalancing system based on demand prediction. In addition, this work quantifies the extent to which an autonomous system would outperform current bicycle-sharing schemes and describes the impact of different parameters on system efficiency and service quality. This research shows that with a fleet size three and a half times smaller than a station-based system and eight times smaller than a dockless system, an autonomous system can provide overall improved performance and user experience even with no rebalancing. These findings indicate that the remarkable efficiency of an autonomous bicycle-sharing system could compensate for the additional cost of autonomous bicycles.

中文翻译:

共享自主自行车车队性能仿真研究

重新思考城市现在比以往任何时候都更加紧迫,因为社会正面临人口增长和气候变化等挑战。城市的设计不能从其交通系统的设计中抽象出来,因此必须找到有效的解决方案,以生态方式在整个城市中运输人员和货物。一个结合了车辆共享、电气化、自主和微型移动优势的自动共享自行车系统可以提高自行车共享系统的效率和便利性,激励更多人以环保的方式骑自行车和享受他们的城市。由于将自动驾驶技术引入共享单车系统的独特性和新颖性,以及这些系统固有的复杂性,需要量化自动驾驶对车队性能和用户体验的潜在影响。本文提出了一种基于临时代理的离散事件模拟器,它可以深入了解自动共享自行车系统在最现实的可能场景中的车队行为,包括基于需求预测的再平衡系统。此外,这项工作量化了自治系统优于当前共享单车方案的程度,并描述了不同参数对系统效率和服务质量的影响。这项研究表明,车队规模比基于站的系统小三倍半,比无坞站系统小八倍,即使没有重新平衡,自治系统也可以提供整体改进的性能和用户体验。
更新日期:2021-06-18
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