高速公路道路安全数学模型的特点

R. V. Guseinov, P. A. Dadaeva, M. M. Shabazov, M. T. Mutalibov, M. Akhmedova
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引用次数: 0

摘要

目的。工作目的是应用数学建模方法解决确保高速公路道路安全的问题。分析公路安全问题(BDD)的定量方法以概率论、数理统计、信息论、多因素分析、可靠性理论、建模、程序设计和其他数学方法为基础。考虑了道路安全问题研究的主要趋势。结果表明,有限因素影响的数学依赖性不适合对 "驾驶员-车辆-道路-环境"(VADS)系统作为一个整体进行令人满意的描述。考虑到 VADS 系统的对象、属性和连接的不确定性,有必要使用系统方法来解决这些问题。讨论了在道路安全方面考虑地区条件的必要性。提出了解决道路安全问题的数学模型建议。在考虑到经济、社会和人口条件的情况下,对通过具体研究积累的大量道路事故经验材料进行归纳和系统化,并在系统表述的基础上发展理论概念,是解决确保道路安全问题的最重要条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Features of mathematical modeling of road safety on highways
Objective. The purpose of the work is to apply mathematical modeling methods to solve problems of ensuring road safety on highways.Method. Quantitative methods for analyzing road safety problems (BDD) are based on probability theory, mathematical statistics, information theory, multifactor analysis, reliability theory, modeling, programming and other mathematical methods.Result. The main trends in the study of road safety problems are considered. It is indicated that the mathematical dependences of the influence of a limited number of factors are unsuitable for a satisfactory description of the “driver-vehicle-road-environment” (VADS) system as a whole. Paying attention to the uncertainty of objects, properties and connections of the VADS system, the need to use a systematic approach in solving these problems is justified. The need to take into account regional conditions in road safety is discussed. Mathematical models recommended for solving problems of ensuring road safety are presented.Conclusion. Generalization, systematization of the vast empirical material of road accidents accumulated as a result of specific studies taking into account economic, social and demographic conditions and the development of theoretical concepts based on system representations are the most important conditions for solving the problems of ensuring road safety.
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