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Management of the reliability of intelligent vehicles as a method to improve traffic safety

机译:智能车辆可靠性管理作为提高交通安全性的一种方法

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World trends in the area of engineering and technology are associated with intellectualization of both the processes and the technical systems. In many cases, exclusion of a human from the control loop provides certain advantages, but at the same time causes a number of problems. Large systems encounter a security issue. This also applies to transport systems for which the development of “unmanned vehicles” has become a logical result of implementation of the Intelligent Transport Systems (ITS) as a system strategy. Transition from creation of driver assistance systems to development of semi-autonomous and unmanned vehicles can be explained by desire of developers to ensure stability and safety of the transport system. However, according to analytical forecasts, while gradual intellectualization of vehicles will result in decreased role of human factor in statistics of road traffic accidents, it will also lead to the growth of their number due to technical malfunction. Therefore, the importance of measures to prevent sudden vehicle failures increases.The article shows the importance of intelligent on-board systems for improving vehicle diagnostic systems. A conceptual scheme of decision support system for managing vehicle service and its interactions with interactive diagnostic system are presented. A scheme of interaction of components of the on-board diagnostic system is provided, the interrelation of the structural and diagnostic parameters determining the state of the components and systems of the vehicle is shown. Such solutions enable improving the service system and optimizing its operation.It is shown that only system solutions in this field will increase reliability and faultless operation of autonomous vehicles, and will ensure their smooth and failure-free operation.
机译:工程和技术领域的世界趋势与流程和技术系统的智能化有关。在许多情况下,将人排除在控制回路之外具有一定的优势,但同时也会带来许多问题。大型系统遇到安全问题。这也适用于运输系统,对于这些运输系统,“无人驾驶汽车”的开发已成为实施智能运输系统(ITS)作为系统策略的逻辑结果。开发人员希望确保运输系统的稳定性和安全性可以解释从创建驾驶员辅助系统到开发半自动和无人驾驶汽车的过渡。然而,根据分析性预测,虽然车辆的逐步智能化将导致人为因素在道路交通事故统计中的作用下降,但由于技术故障,也会导致车辆数量的增长。因此,预防车辆突然故障的措施的重要性日益提高。本文显示了智能车载系统对于改进车辆诊断系统的重要性。提出了用于管理车辆服务的决策支持系统的概念方案及其与交互式诊断系统的交互。提供了车载诊断系统的组件相互作用的方案,示出了确定车辆的组件和系统的状态的结构参数和诊断参数的相互关系。这样的解决方案可以改善服务系统并优化其运行。结果表明,只有该领域的系统解决方案才能提高自动驾驶汽车的可靠性和无故障运行,并确保其平稳,无故障运行。

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