ABOUT THE CREATION OF MIVAR CONTROL SYSTEMS FOR MONITORING THE KEEPING OF TRAFFIC RULES ON THE BASIS OF LOGICAL KERNEL (RAZUMATOR) AND EXPERT SYSTEMS

O. Varlamov, D. Aladin
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引用次数: 5

Abstract

The article is dedicated to the issue of the possibility for building a system for monitoring compliance with traffic rules on  the  basis  of  mivar  technologies.  Currently  unmanned  vehicle  control  systems  are  being  developed  worldwide.  In particular, based on the mivar expert systems supplied with Razumator –   a system with linear computational complexity  of logical inference, there was constructed and successfully tested a prototype of the decision-making system for  monitoring traffic rules compliance (DMS MTRC) for Robo!Razum autonomous unmanned car. Nevertheless, the use of  DMS MTRC is not limited to projects of unmanned vehicles development, and such systems can be installed in  conventional cars as systems for monitoring drivers’ compliance with traffic rules. The article substantiates the opinion  that all necessary modules are available to construct mivar systems for monitoring traffic rules compliance (MS MTRC)  on the basis of the Razumators. MS MTRC will prompt the drivers for permitted manoeuvres, and in case of violation of  traffic rules by drivers the system will inform the driver about such violation. Subject to regulation by laws, MS MTRC can  report violations of traffic rules to state authorities and «write out a fine» to the driver similar to the existing systems used  for detection and reporting traffic rules violations. The powerful mivar toolkit (Wi!Mi Razumator, Tel!Mi and Robo!Razum),  the scalability of the mivar knowledge models and low requirements to hardware make it possible to ensure a low cost  of the MS MTRC and also to easily and quickly adapt this software product to the legislation of the countries where a  particular car is to be operated. MS MTRC can be built into new cars at automotive factories or can be installed as  optional equipment on already used cars.
基于逻辑核(razumator)和专家系统的交通规则监控系统的创建
这篇文章专门讨论建立一个基于mivar技术的监测交通规则遵守情况的系统的可能性问题。目前,无人驾驶车辆控制系统正在世界范围内发展。特别是,基于Razumator提供的具有线性逻辑推理计算复杂度的mivar专家系统,构建并成功测试了用于Robo!Razum自动驾驶汽车的交通规则遵从性监测决策系统(DMS MTRC)原型。然而,DMS MTRC的使用并不局限于无人驾驶车辆的开发项目,这种系统可以安装在传统汽车上,作为监控驾驶员遵守交通规则的系统。这篇文章证实了在Razumators的基础上,所有必要的模块都可以用来构建监测交通规则遵守情况的mivar系统(MTRC)。地铁公司会提示司机进行允许的驾驶,如司机违反交通规则,系统会通知司机。根据法律规定,MTRC可以向国家当局报告违反交通规则的情况,并向司机“开出罚款”,类似于现有的用于检测和报告交通规则的系统。强大的mivar工具包(Wi!Mi Razumator, Tel!Mi和Robo!Razum), mivar知识模型的可扩展性和对硬件的低要求使其能够确保低成本也可以方便快捷地使这个软件产品适应特定汽车运行的国家的立法。MTRC可以安装在汽车工厂的新车上,也可以作为可选设备安装在已经使用过的汽车上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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