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A collaborative driving system based on multiagent modelling and simulations

机译:基于多主体建模和仿真的协同驾驶系统

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Collaborative driving is a growing domain of intelligent transportation systems (ITS) that makes use of communications to autonomously guide cooperative vehicles on an automated highway system (AHS). In this paper, we address this issue by using a platoon of cars considered as more or less autonomous software agents. To achieve this, we propose a hierarchical driving agent architecture based on three layers (guidance layer, management layer and traffic control layer). This architecture has been used to develop centralized platoons, where the driving agent of the head vehicle coordinates other driving agents by applying strict rules, and decentralized platoons, where the platoon is considered as a group of driving agents with a similar degree of autonomy, trying to maintain a stable platoon. The latter decentralized model mainly considers an agent teamwork model based on a multiagent architecture, known as STEAM. The centralized and decentralized coordination models are finally compared using results from simulation scenarios that highlight safety, time efficiency and communication efficiency aspects for each model.
机译:协同驾驶是智能交通系统(ITS)的一个不断发展的领域,它利用通信来自动引导自动公路系统(AHS)上的协同车辆。在本文中,我们通过使用被视为或多或少的自治软件代理的汽车排来解决此问题。为此,我们提出了一个基于三层(指导层,管理层和交通控制层)的分层驱动代理体系结构。此体系结构已用于开发集中式排,在这种情况下,本车的驾驶员通过应用严格的规则来协调其他驾驶员,而在分散式排中,排被视为具有类似自治程度的一组驾驶员,保持稳定的排。后者的分散模型主要考虑基于多代理架构(称为STEAM)的代理团队模型。最后,使用模拟场景的结果对集中式和分散式协调模型进行比较,这些场景突出了每种模型的安全性,时间效率和通信效率方面。

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