Game theoretic approaches for the mathematical control, modelling and optimization of interactions between autonomous vehicles and other road users

用于自动驾驶车辆与其他道路使用者之间交互的数学控制、建模和优化的博弈论方法

• 批准号: 2283462
• 金额: --
• 依托单位: University of Leeds
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2283462
• 关键词: Game; theoretic; approaches; mathematical; control

The rapid advance in the development of autonomous vehicle (AV) technology has brought their widespread deployment to the near horizon. As well as their use in personal transportation, small robots such as the Starship have been designed to provide small goods deliveries such as groceries. However, deploying AVs in dense urban areas is a major unresolved challenge, given their need to interact safely and efficiently with regular vehicles, pedestrians and cyclists. The purpose of the PhD study is to explore the application of mathematical game theory to represent, understand and design such interactions. Such techniques have been found to be previously useful in designing safe transportation systems (Elvik R, 2014: A review of game-theoretic models of road user behaviour. Accident Analysis & Prevention 62: 388-396). Building on research in the on-going research projects CityMobil2 and interAct, and in the expertise of the supervisors in modelling and optimization of transport systems, the research will involve formulating alternative mathematical models, implementing and testing them computationally, and devising appropriate optimization/control mechanisms for both the AVs and the infrastructure, in order to ensure safe and efficient movement for all road users

自动驾驶汽车技术（AV）技术的迅速发展使他们的广泛部署近距离地平线。除了在个人运输中的使用外，诸如Starship之类的小型机器人旨在提供杂货等小型商品。但是，鉴于他们需要安全有效地与常规车辆，行人和骑自行车的人进行安全，有效的互动，在密集的城市地区部署AV是一个重大的尚未解决的挑战。博士研究的目的是探索数学游戏理论的应用来代表，理解和设计这种相互作用。已经发现，这种技术以前在设计安全运输系统方面很有用（Elvik R，2014年：对道路用户行为的游戏理论模型的评论。事故分析与预防62：388-396）。基于正在进行的研究项目CityMobil2和互动的研究，以及主管在运输系统建模和优化方面的专业知识，该研究将涉及制定替代数学模型，通过计算进行计算，并设计适当的优化/控制机制，以确保为所有AVS和基础结构的移动，并有效地运动，并有效地运动

项目成果

How Can Autonomous Road Vehicles Coexist with Human-Driven Vehicles? An Evolutionary-Game-Theoretic Perspective

自动驾驶道路车辆如何与人类驾驶车辆共存？

• DOI: 10.5220/0011079500003191
• 发表时间: 2022
• 作者: Bitar I

Sensitivity Analysis of the Spatial Parameters in Modelling the Evolutionary Interaction Between Autonomous Vehicles and Other Road Users

• DOI: 10.1007/s42979-023-01715-2
• 发表时间: 2023-04
• 期刊: SN Computer Science
• 作者: Isam Bitar;D. Watling;R. Romano