Modelling Uptake Sensitivities of Connected and Automated Vehicle Technologies
Modelling Uptake Sensitivities of Connected and Automated Vehicle Technologies
复制标题
互联和自动化车辆技术的采用敏感性建模
DOI：
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发表时间：
2021
影响因子：
1.8
通讯作者：
Haibo Chen
中科院分区：
文献类型：
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作者：
G. Harrison;S. Shepherd;Haibo Chen
互联自动驾驶汽车 (CAV) 技术和服务正在迅速发展，并有可能彻底改变交通系统。然而，像许多创新一样，采用途径是不确定的。本文的重点是加深对可能影响高度全自动车辆采用的因素的理解，特别关注物联网 (IoT) 的作用。使用系统动态建模，对车辆属性（例如舒适性、安全性、熟悉度）进行敏感性测试，并开发场景，以探索基于物联网供应质量的不同条件下 CAV 的采用率如何变化。研究发现，公用事业和不良物联网的影响最大。然后我们将注意力集中在以本文前面探讨的属性为特征的 CAV“服务”上，结果发现它们可以有助于市场份额增加 20%。
Connected and automated vehicle (CAV) technologies and services are rapidly developing and have the potential to revolutionise the transport systems. However, like many innovations, the uptake pathways are uncertain. The focus of this article is on improving understanding of factors that may affect the uptake of highly and fully automated vehicles, with a particular interest in the role of the internet of things (IoT). Using system dynamic modelling, sensitivity testing towards vehicle attributes (e.g., comfort, safety, familiarity) is carried out and scenarios were developed to explore how CAV uptake can vary under different conditions based around the quality of IoT provision. Utility and poor IoT are found to have the biggest influence. Attention is then given to CAV ‘services' that are characterized by the attributes explored earlier in the paper, and it is found that they could contribute to a 20% increase in market share.
影响因子：
1.8
作者：
Pierce D
通讯作者：
Pierce D