METHODS OF SHORT-TERM FORECASTING OF TRAFFIC FLOWS BASED ON BIG DATA-Reference-Cited by-同舟云学术

METHODS OF SHORT-TERM FORECASTING OF TRAFFIC FLOWS BASED ON BIG DATA

Published:2024-06-18 Issue: Volume: Page:5-9
ISSN:
Container-title:Materials of the National Scientific and Practical Conference "SCIENCE AND INNOVATION IN THE MODERN WORLD"
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Author:

Jiang Zixiao¹,Feofilova A.¹

Affiliation:

1. Don State Technical University

Abstract

Short-term forecasting of traffic flows is a key technology for intelligent transport systems. The analysis of changes in the current traffic flow is aimed at supporting traffic management, since it is possible to determine traffic conditions in advance. This article examines the main directions of research on intelligent transport systems in the context of big data, classifies existing algorithms for short-term forecasting of traffic flows and analyzes the adaptability of various algorithms. The direction of research on methods of short-term forecasting of traffic flows is proposed.

Publisher

FSBE Institution of Higher Education Voronezh State University of Forestry and Technologies named after G.F. Morozov

Reference4 articles.

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