Sensitivity Analysis of the Spatial Parameters in Modelling the Evolutionary Interaction Between Autonomous Vehicles and Other Road Users
Sensitivity Analysis of the Spatial Parameters in Modelling the Evolutionary Interaction Between Autonomous Vehicles and Other Road Users
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DOI：
10.1007/s42979-023-01715-2
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发表时间：
2023-04
期刊：
影响因子：
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通讯作者：
Isam Bitar;D. Watling;R. Romano
中科院分区：
文献类型：
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作者：
Isam Bitar;D. Watling;R. Romano
道路使用者网络是一个动态的、不断发展的群体，在这个群体中，道路使用者相互作用，共享和竞争道路空间。自动驾驶汽车（ARV）的出现将为道路使用者动态带来许多机遇和挑战。其中一个挑战是抗逆转录病毒病毒种群是否能够成功地进入现有的道路使用者空间。以前的工作表明，成功地将抗逆转录病毒药物引入道路网络必须考虑现有人口的进化动力学。本研究探讨了不同的空间参数的影响，作为启动条件引入一个小人口的抗逆转录病毒药物到居民人口的人驾驶的车辆（HDV）。该模型利用进化博弈论的概念，并使用一个正方形的格子网格与一个新的代理移动性的方法。结果表明，ARV的成功表现出显着的敏感性，在初始集群的大小，位置和旅行范围的变化。抗逆转录病毒药物似乎在数量较少、规模较大、行程较短的集群中表现最佳。这表明，早期引入抗逆转录病毒药物的最佳形式可能是集中的、高度合作的当地客运或货运车队。
The road user network is a dynamic, ever-evolving population in which road users interact to share and compete for road space. The advent of autonomous road vehicles (ARVs) will usher in numerous opportunities and challenges in road user dynamics. One of the challenges is whether an ARV population would be able to successfully enter the existing road user space. Previous work demonstrates that successful introduction of ARVs into the road network must consider the evolutionary dynamics of the existing population. This study examines the effect of different spatial parameters as starting conditions for the introduction of a small population of ARVs into a resident population of human-driven vehicles (HDV). The model utilises the concept of evolutionary game theory and uses a square lattice grid with a novel agent mobility approach. The results show that ARV success exhibits significant sensitivity to variations in initial cluster size, position, and travel range. ARVs seem to perform best in fewer, larger clusters with a shorter travel range. This suggests that the best form of early ARV introduction may take the shape of centralised, highly co-operative fleets of local passenger or freight transport.