Real Time Motion Detection for Traffic Analysis Using Computer Vision

2020 ◽  
Vol 10 (2) ◽  
pp. 1-14
Author(s):  
Ashwin Sai C. ◽  
Karthik Srinivas K. ◽  
Allwyn Raja P.
Keyword(s):  
Traffic Management ◽  
Traffic Analysis ◽  
Integrated System ◽  
Lane Changing ◽  
Surveillance Camera ◽  
Integrated Method ◽  
Time Motion ◽  
Violation Detection ◽  
Traffic Violations ◽  
Traffic Management System

Nowadays, as the digital era proliferates, there are a number of traffic violation detection systems built using hardware and software to detect violation of traffic rules. This article proposes an integrated method for traffic analysis by detecting vehicles in the video and tracking their motion for multiple violation detection. The purpose of this integrated system is to provide a method to identify different types of traffic violations and to reduce the number of systems used to record violations. This method receives input from traffic surveillance camera and uses DNN to classify the vehicles to reduce the number of personnel needed to do this manually. The authors have implemented modules which are used to track vehicles and detect violations such as line crossing, lane changing, signal jumping, over-speeding and find illegally parked vehicles. The main purpose of this project is to convert manual traffic analysis into a smart traffic management system.

scholarly journals New Directions in Traffic Control Analysis through Video Surveillance

2021 ◽  
Vol 309 ◽  
pp. 01099
Author(s):  
R. V. S. Lalitha ◽  
Divya Lalita Sri Jalligampala ◽  
Kayiram Kavitha ◽  
Shaik Vahida ◽  
Goli Rajasekhar
Keyword(s):  
Video Surveillance ◽  
Traffic Control ◽  
Urban Areas ◽  
Traffic Management ◽  
Traffic Analysis ◽  
Video Data ◽  
Control Analysis ◽  
Wide Range ◽  
Registration Number ◽  
Traffic Management System

Traffic management is an increasing problem in both cities and sub urban areas. Authority people involved in traffic management system spend much of time in controlling traffic at junctions. With the advances in technology, monitoring traffic through image processing and video surveillance techniques became the researchers’ attention. These techniques help us in controlling traffic as well as to identification of kamikaze drivers and speed violators. The key focus of this research is to do traffic analysis using video surveillance to detect speedy drivers. A wide range of traffic parameters such as flow of traffic, speed of vehicles and vehicle registration number are the major components involved in this research. In this paper, traffic analysis is carried out based on streaming video data with YOLO tool. In this paper an eco system is developed for object detection, vehicle number detection and the speed of the vehicle using computer vision algorithms. With the application tool developed, traffic control authority people can warn the speedy drivers on the fly.

scholarly journals Intelligent Traffic Management System

2019 ◽  
Vol 8 (3) ◽  
pp. 7592-7597
Keyword(s):  
Rural Areas ◽  
Traffic Management ◽  
Daily Basis ◽  
Automated System ◽  
Mass Migration ◽  
Major Mode ◽  
Traffic Violations ◽  
Traffic Management System ◽  
The City ◽  
Traffic Rules

Urbanization has presented opportunities of progress which has attracted people from rural areas to the cities thus leading to mass migration. This migration has been going on for decades all around the globe and has reached a point of saturation. The area of the city remains the same but the population density has increased multiple times. Commuting for work is a scene of chaos on the roads. Though there are modes of public transport, roadway is the major mode of commute and the load on roadways is ever increasing due to the rise in population. There is hardly any scope to expand the area of the roadways. The rise in the number of vehicles each year has saturated the capacity the roads were built to carry. This leads to congestion and long hours of traffic on a daily basis which tests the patience of citizens. This provokes the daily commuters to violate the traffic rules which may sometimes amount to grave accidents. Even on Highways, the empty roads entice drivers to experience the thrill of speed overlooking the fact that they are putting themselves at risk. There have been regulations imposed to reduce the chance of an accidents by implementing rules and levying heavy fines on traffic violations. Traffic cameras have been installed all around the city to monitor for traffic violations and get hold of violators. With the technological advancements to store and process large chunks of data efficiently using techniques like Deep Learning and Computer Vision, this paper proposes an automated system to detect Traffic Violations using YOLOv3 to detect and track vehicles and save a snapshot in case a violation is committed.

Ensuring the implementation of the modernized structure and automation of air traffic control processes in the area of responsibility of the Moscow district of air traffic control

2018 ◽  
pp. 46-54
Author(s):  
A. V. Strukova
Keyword(s):  
Traffic Control ◽  
Traffic Management ◽  
Air Traffic Control ◽  
Management System ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Security System ◽  
System Description ◽  
Functional Capabilities ◽  
Traffic Management System

The article considers the new automated air traffic management system «Synthesis AR4», as well as a system description for ensuring the implementation of a modernized airspace structure, navigation and surveillance that provides technical capabilities. A number of functional capabilities and advantages of the airspace security system are presented.

scholarly journals Developing a Traffic Management System Architecture Model

2021 ◽  
Vol 54 ◽  
pp. 918-926
Author(s):  
Vadim Korablev ◽  
Dayana Gugutishvili ◽  
Aleksandr Lepekhin ◽  
Berry Gerrits
Keyword(s):  
System Architecture ◽  
Traffic Management ◽  
Management System ◽  
Architecture Model ◽  
Traffic Management System
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