The Conception of Creating a Decision Support System for Driving on Dirt Roads

Visual-odometric navigation systems are widely studied at the present time. These systems allow you to assess the position of an object both on the basis of visual information and on the basis of odometric data. Another area of scientific research is decision support systems. These systems are widely used in the modern world, starting from solving navigation problems, ending with issues of evaluating the effectiveness of an employee in an enterprise. This paper presents the conception of creating a decision support system for cross-country traffic (dirt roads) based on an expert system for recognizing traffic conditions. The expert system being developed is based on both data obtained from verifiable sources, such as scientific research, reference books, etc., and the experience of real drivers.

I. Introduction

The demand for automatic transport management systems is increasingly relevant in the modern world. Systems that perform the work as autopilot are being developed, as well as management assistance systems, and the level of security in decision-making by the management system is being increased. The paper proposes a conception of a decision support system (DSS) when driving on a dirt road. This conception implies the presence of an expert system that assumes that the movement is most beneficial on the road. At the same time, the expert system is being developed based on methodological instructions for driving over cross-country terrain, works on visual-odometric navigation, and social research implying the structuring of the experience of real drivers.