权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

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

基本信息

批准号：
2283462
负责人：
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

项目摘要

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（AV）技术的快速发展使其广泛部署已指日可待。除了在个人交通中的应用外，像 Starship 这样的小型机器人还被设计用来提供杂货等小件货物的运送。然而，考虑到自动驾驶汽车需要与普通车辆、行人和骑自行车的人安全有效地互动，在人口稠密的城市地区部署自动驾驶汽车是一个尚未解决的重大挑战。博士研究的目的是探索数学博弈论的应用来表示、理解和设计这种相互作用。此类技术之前已被发现可用于设计安全交通系统（Elvik R，2014：道路使用者行为博弈论模型综述。事故分析与预防 62：388-396）。基于正在进行的研究项目 CityMobil2 和 interAct 的研究，以及主管人员在交通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，在计算上实施和测试它们，并为自动驾驶汽车和基础设施设计适当的优化/控制机制，以确保所有道路使用者的安全和高效移动