Библиографическое описание:Models of analysis and forecasting of the traffic situation : доклад, тезисы доклада / Yaroslav I. Shamlitskiy [et al.]. - [S. l. : s. n.], 2021. - Текст : непосредственный // III International Workshop on Modeling, Information Processing and Computing (MIP: Computing-2021) / III International Scientific Workshop MIP: Computing-2021: Modeling, Information Processing and Computing (2021 ; 28.05 - 28.05 ; Krasnoyarsk). - Krasnoyarsk, Russia, 2021. - 2899. - P. 125-132. - DOI 10.47813/dnit-mip3/2021-2899-125-132.
Аннотация:The article discusses the results of the analysis of methods and models for predicting road safety. The problem of creating mathematical models and software for describing and analyzing traffic processes is very relevant. The analysis of the study of road traffic accidents is given and the cause-and-effect relationships of road traffic and the conditions for the occurrence of problem situations are established. The task of developing a methodology for predicting and preventing road accidents with the aim of reducing road accidents is being solved. An example of a simulation model that describes the route network of a city is given. A computer experiment was able to trace the congestion of sections of the road network. This work is devoted to solving a number of problems associated with this problem, aimed at improving the quality of the city's transport system by reducing the likelihood of an accident and eliminating the downtime of route vehicles due to congestion and traffic jams, and also contributes to the timely delivery of passengers to a certain destination. With the help of the developed model, it is possible to study bottlenecks of transport services, assess the traffic situation, reduce tension and the number of accidents on the roads, improve the environmental situation, identify further directions of development and improvement.
