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

自动驾驶汽车（AV）技术的快速发展使其广泛部署成为可能。除了在个人运输中的应用外，像Starship这样的小型机器人还被设计用于提供杂货等小型货物的运送。然而，在密集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，因为它们需要与普通车辆、行人和骑自行车的人安全有效地互动。博士研究的目的是探索数学博弈论的应用，以代表，理解和设计这样的互动。这些技术在设计安全的交通系统时已经被发现是有用的（Elvik R，2014：道路使用者行为的博弈论模型综述。事故分析和预防62：388-396）。基于正在进行的研究项目CityMobil 2和interAct的研究，以及监管人员在交通系统建模和优化方面的专业知识，研究将涉及制定替代数学模型，通过计算实施和测试这些模型，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行驶

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