On the simulation of shared autonomous micro-mobility

IF 12.5 Q1 TRANSPORTATION
Naroa Coretti Sanchez , Iñigo Martinez , Luis Alonso Pastor , Kent Larson
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引用次数: 6

Abstract

Fast urbanization and climate change require innovative systems for an efficient movement of people and goods in cities. As trends towards vehicle-sharing, autonomous vehicles, and the use of micro-mobility systems gain strength, the intersection of these fields appears as an area of great opportunity. Autonomy could potentially bring the convenience of on-demand mobility into already prevalent shared micro-mobility systems (SMMS), increasing their efficiency and incentivizing more people to use active mobility modes. The novelty of introducing autonomous driving technology into SMMS and their inherent complexity requires tools to assess and quantify the potential impact of autonomy on fleet performance and user experience. This paper presents an ad-hoc agent-based simulator for the assessment of the fleet behavior of autonomous SMMS in realistic scenarios, including a rebalancing system based on demand prediction. It also allows comparing its performance to station-based and dockless schemes. The proposed simulation framework is highly configurable and flexible and works with high resolution and precision geospatial data. The results of studies carried out with this simulation tool could provide valuable insights for many stakeholders, including vehicle design engineers, fleet operators, city planners, and governments.

共享自主微移动仿真研究
快速的城市化和气候变化需要创新的系统来实现城市中人员和货物的有效流动。随着汽车共享、自动驾驶汽车和微型移动系统使用的趋势日益增强,这些领域的交叉领域似乎是一个充满机遇的领域。自动驾驶可能会将按需出行的便利性带入已经普遍存在的共享微移动系统(SMMS),提高它们的效率,并激励更多的人使用主动移动模式。将自动驾驶技术引入SMMS的新颖性及其固有的复杂性需要工具来评估和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代理的仿真系统,用于评估现实场景下自主SMMS的车队行为,包括基于需求预测的再平衡系统。它还允许将其性能与基于站点和无码头的方案进行比较。该仿真框架具有高度可配置性和灵活性,可用于高分辨率和高精度的地理空间数据。使用该模拟工具进行的研究结果可以为许多利益相关者提供有价值的见解,包括车辆设计工程师、车队运营商、城市规划者和政府。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
15.20
自引率
0.00%
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