Technology of hybrid computational intellect and problems associated with intelligent vehicle control systems development

• Published in: Transportation research procedia (Online) 2018, Vol.36, p.326-333
• Main Authors: Koryagin, Sergei, Klachek, Pavel, Liberman, Irina
• Format: Article
• Language: English
• Subjects: artificial intellect; hybrid computational model; intelligent control system; intelligent motor vehicle; mathematical modeling
• ISSN: 2352-1465; 2352-1465
• DOI: 10.1016/j.trpro.2018.12.093

The authors of this article are presenting the concepts of intelligent vehicle control systems development on the basis of author’s concept of "soft" mathematical modeling of complex systems by method of heuristic correction of basic analytical dependences by heuristic knowledge and soft computation. The authors are formulating the basic provisions of “knowledge genesis” method intended for the development of particular class of mathematic models capable (based on flexible computation) (i) to integrate determinate, indeterminate and uncertain knowledge in one and the same system and (ii) to change (accommodate) its structure in the course of modeling the object of evolution. The authors are (i) representing functional scheme of future-oriented on-board intelligent system of motor vehicle (hereinafter referred to as “ATS”) control developed on the basis of hybrid computational intellect and (ii) giving an example of hybrid computational model of unmanned ATS dynamic behavior developed on the basis of “knowledge genesis” method. The proposed methodological and application-oriented concepts of soft mathematical modeling (made on the basis of “knowledge genesis” method) could become the basis for the development of a range of future-oriented intelligent systems capable to exercise control of advanced high-technology vehicles (including unmanned vehicles and vehicles pertaining to civil and military spheres of application).