title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° ÑÐ¸ÑÑÐµÐ¼Ñ ÑÐ°ÑÑÐµÑÐ° Ð¸ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐ½Ð¾Ð³Ð¾ Ð¿Ð¾ÑÐ¾ÐºÐ° Ð½Ð° Ð¿ÐµÑÐµÐºÑÐµÑÑÐºÐµ Ð¿Ð¾ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ñ Ð²Ð¸Ð´ÐµÐ¾ÐºÐ°Ð¼ÐµÑÑ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Development of a system for calculating and analyzing traffic flow parameters at an intersection using camera input
Creators: name: ÐÐµÐ½Ð¸ÑÐ¾Ð², ÐÑÑÑÐ¼
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: Ð¿ÐµÑÐµÐºÑÑÑÑÐºÐ¸
ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ðµ Ð·ÑÐµÐ½Ð¸Ðµ
Ð´ÐµÑÐµÐºÑÐ¸Ñ Ð¾Ð±ÑÐµÐºÑÐ¾Ð²
Ð¾ÑÑÐ»ÐµÐ¶Ð¸Ð²Ð°Ð½Ð¸Ðµ Ð¾Ð±ÑÐµÐºÑÐ¾Ð²
Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð°Ð½Ð°Ð»Ð¸Ð· Ð²Ð¸Ð´ÐµÐ¾Ð¿Ð¾ÑÐ¾ÐºÐ°
faster r-cnn
yolo
bytetrack
computer vision
object detection
object tracking
intersections
automatic video stream analysis

description: Ð Ð°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° Ð¿ÑÐ¾Ð±Ð»ÐµÐ¼Ðµ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾Ð³Ð¾ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐ½ÑÐ¼Ð¸ Ð¿Ð¾ÑÐ¾ÐºÐ°Ð¼Ð¸ Ð½Ð° Ð¿ÐµÑÐµÐºÑÑÑÑÐºÐ°Ñ, Ð² ÑÑÐ»Ð¾Ð²Ð¸ÑÑ ÑÐ°ÑÑÑÑÐµÐ³Ð¾ ÑÐ¸ÑÐ»Ð° Ð°Ð²ÑÐ¾ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐ° Ð¸ ÑÐ²ÐµÐ»Ð¸ÑÐµÐ½Ð¸Ñ Ð½Ð°Ð³ÑÑÐ·ÐºÐ¸ Ð½Ð° Ð´Ð¾ÑÐ¾Ð¶Ð½ÑÑ Ð¸Ð½ÑÑÐ°ÑÑÑÑÐºÑÑÑÑ. ÐÐ´Ð½Ð¸Ð¼ Ð¸Ð· ÐºÐ»ÑÑÐµÐ²ÑÑ Ð¼Ð¾Ð¼ÐµÐ½ÑÐ¾Ð² Ð² ÑÐ»ÑÑÑÐµÐ½Ð¸Ð¸ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐ½ÑÐ¼Ð¸ Ð¿Ð¾ÑÐ¾ÐºÐ°Ð¼Ð¸ Ð½Ð° Ð¿ÐµÑÐµÐºÑÑÑÑÐºÐ°Ñ ÑÐ²Ð»ÑÐµÑÑÑ ÑÐ¾ÑÐ½Ð¾Ðµ Ð¸ Ð¾Ð¿ÐµÑÐ°ÑÐ¸Ð²Ð½Ð¾Ðµ Ð¿Ð¾Ð»ÑÑÐµÐ½Ð¸Ðµ Ð´Ð°Ð½Ð½ÑÑ Ð¾ Ð´Ð²Ð¸Ð¶ÐµÐ½Ð¸Ð¸. Ð ÑÐ²ÑÐ·Ð¸ Ñ ÑÑÐ¸Ð¼, ÑÐ°Ð±Ð¾ÑÐ° ÑÑÐ°Ð²Ð¸Ñ Ð¿ÐµÑÐµÐ´ ÑÐ¾Ð±Ð¾Ð¹ ÑÐµÐ»Ñ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°ÑÑ ÑÐ¾Ð²ÑÐµÐ¼ÐµÐ½Ð½ÑÐµ Ð¼ÐµÑÐ¾Ð´Ñ ÑÐ±Ð¾ÑÐ° Ð´Ð°Ð½Ð½ÑÑ Ð¾ ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐ½ÑÑ Ð¿Ð¾ÑÐ¾ÐºÐ°Ñ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð²Ð¸Ð´ÐµÐ¾Ð¿Ð¾ÑÐ¾ÐºÐ° Ð¸ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°ÑÑ ÑÐ¸ÑÑÐµÐ¼Ñ Ð¸Ñ Ð°Ð½Ð°Ð»Ð¸Ð·Ð°. ÐÑÑÐ»ÐµÐ´ÑÑÑÑÑ ÑÐ¾Ð²ÑÐµÐ¼ÐµÐ½Ð½ÑÐµ Ð¼ÐµÑÐ¾Ð´Ñ Ð´ÐµÑÐµÐºÑÐ¸Ð¸ Ð¸ Ð¾ÑÑÐ»ÐµÐ¶Ð¸Ð²Ð°Ð½Ð¸Ñ Ð¾Ð±ÑÐµÐºÑÐ¾Ð², Ð²ÐºÐ»ÑÑÐ°Ñ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹, ÑÐ°ÐºÐ¸Ðµ ÐºÐ°Ðº Faster R-CNN, YOLO, Ð° ÑÐ°ÐºÐ¶Ðµ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ Ð¾ÑÑÐ»ÐµÐ¶Ð¸Ð²Ð°Ð½Ð¸Ñ, ÑÐ°ÐºÐ¸Ðµ ÐºÐ°Ðº SORT, DeepSort, ByteTrack. ÐÑÐ¾Ð±Ð¾Ðµ Ð²Ð½Ð¸Ð¼Ð°Ð½Ð¸Ðµ ÑÐ´ÐµÐ»ÐµÐ½Ð¾ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ Ð¸ ÑÐºÐ¾ÑÐ¾ÑÑÐ¸ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸Ñ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹ Ð´Ð»Ñ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐ½Ð¾Ð³Ð¾ Ð¿Ð¾ÑÐ¾ÐºÐ°. Ð ÐºÐ¾Ð½ÑÐµÐºÑÑÐµ ÑÐ°Ð±Ð¾ÑÑ ÑÐ°ÐºÐ¶Ðµ Ð¿ÑÐ¾Ð²Ð¾Ð´Ð¸ÑÑÑ Ð°Ð½Ð°Ð»Ð¸Ð· ÐºÐ¾Ð½ÑÐ»Ð¸ÐºÑÐ½ÑÑ ÑÐ¸ÑÑÐ°ÑÐ¸Ð¹ Ð½Ð° Ð¿ÐµÑÐµÐºÑÑÑÑÐºÐ°Ñ Ð¸ ÑÐ°Ð·ÑÐ°Ð±Ð°ÑÑÐ²Ð°ÐµÑÑÑ ÑÐ¸ÑÑÐµÐ¼Ð° Ð²Ð¸Ð·ÑÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¸ Ð¿Ð¾Ð´ÑÑÑÑÐ° ÑÑÐ°ÑÐ¸ÑÑÐ¸ÐºÐ¸. Ð ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ ÑÐ´Ð°Ð»Ð¾ÑÑ ÑÐ¿ÑÐ¾ÐµÐºÑÐ¸ÑÐ¾Ð²Ð°ÑÑ ÑÐ¸ÑÑÐµÐ¼Ñ, ÐºÐ¾ÑÐ¾ÑÐ°Ñ Ð¾Ð±ÑÐ°Ð±Ð°ÑÑÐ²Ð°ÐµÑ Ð´Ð°Ð½Ð½ÑÐµ Ñ Ð²Ð¸Ð´ÐµÐ¾Ð¿Ð¾ÑÐ¾ÐºÐ°, Ð¿Ð¾Ð´ÑÑÐ¸ÑÑÐ²Ð°ÐµÑ ÐºÐ¾Ð»Ð¸ÑÐµÑÑÐ²Ð¾ Ð¸ ÑÐ¸Ð¿ ÑÑÐ°Ð½ÑÐ¿Ð¾ÑÑÐ½ÑÑ ÑÑÐµÐ´ÑÑÐ², ÐºÐ¾Ð»Ð¸ÑÐµÑÑÐ²Ð¾ Ð¿ÐµÑÐµÑÐ¾Ð´Ð¾Ð² Ð¿Ð¾ Ð½Ð°Ð¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸ÑÐ¼ Ð´Ð²Ð¸Ð¶ÐµÐ½Ð¸Ñ, ÑÐ¾ÑÑÐ°Ð½ÑÐµÑ Ð´Ð°Ð½Ð½ÑÐµ Ð½Ð° ÑÐµÑÐ²ÐµÑ Ð¸ Ð²ÑÐ²Ð¾Ð´Ð¸Ñ Ð½Ð°Ð³Ð»ÑÐ´Ð½ÑÑ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ñ Ð½Ð° ÑÐºÑÐ°Ð½.
description: The work is dedicated to the problem of efficient traffic management at intersections, in the face of increasing numbers of vehicles and growing pressure on road infrastructure. One of the key aspects in improving traffic flow management at intersections is the accurate and prompt collection of movement data. Therefore, the aim of the work is to investigate modern methods of collecting data on traffic flows using video streams and to develop a system for their analysis. Modern methods of object detection and tracking are studied, including algorithms based on neural networks such as Faster R-CNN, YOLO, as well as tracking algorithms such as SORT, DeepSort, ByteTrack. Special attention is paid to researching the effectiveness and speed of applying neural networks for analyzing traffic flow parameters. In the context of the work, an analysis of conflict situations at intersections is also conducted, and a system for visualization and statistical counting is developed. As a result, a system has been designed that processes data from a video stream, counts the number and type of vehicles, the number of pedestrians in each direction of movement, saves the data to a server, and provides visual information on the screen.