New Directions in Traffic Control Analysis through Video Surveillance

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.

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Mobile Road Traffic Management System Using Weighted Sensor

International Journal of Interactive Mobile Technologies (iJIM) ◽

10.3991/ijim.v11i5.6745 ◽

2017 ◽

Vol 11 (5) ◽

pp. 147 ◽

Cited By ~ 2

Author(s):

Solomon Adegbenro Akinboro ◽

Johnson A Adeyiga ◽

Adebayo Omotosho ◽

Akinwale O Akinwumi

Keyword(s):

Real Time ◽

Traffic Control ◽

Urban Areas ◽

Traffic Management ◽

Management System ◽

Road Traffic ◽

Traffic Information ◽

Traffic Light ◽

Real Time Traffic ◽

Traffic Management System

Vehicular traffic is continuously increasing around the world, especially in urban areas, and the resulting congestion has become a major concern to automobile users. The popular static electric traffic light controlling system can no longer sufficiently manage the traffic volume in large cities where real time traffic control is paramount to deciding best route. The proposed mobile traffic management system provides users with traffic information on congested roads using weighted sensors. A prototype of the system was implemented using Java SE Development Kit 8 and Google map. The model was simulated and the performance was assessed using response time, delay and throughput. Results showed that, mobile devices are capable of assisting road users’ in faster decision making by providing real-time traffic information and recommending alternative routes.

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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

Informacionno-technologicheskij vestnik ◽

10.21499/2409-1650-2018-3-46-54 ◽

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.

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Real Time Motion Detection for Traffic Analysis Using Computer Vision

International Journal of Computer Vision and Image Processing ◽

10.4018/ijcvip.2020040101 ◽

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.

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Sensitivity Analysis to Define Guidelines for Predictive Control Design

Transportation Research Record Journal of the Transportation Research Board ◽

10.1177/0361198120919114 ◽

2020 ◽

Vol 2674 (6) ◽

pp. 385-398

Author(s):

M. C. Poelman ◽

A. Hegyi ◽

A. Verbraeck ◽

J. W. C. van Lint

Keyword(s):

Sensitivity Analysis ◽

Control System ◽

Predictive Control ◽

Traffic Control ◽

Urban Areas ◽

Traffic Management ◽

Information Quality ◽

Prediction Horizon ◽

Technological Developments ◽

And Performance

Signalized traffic control is important in traffic management to reduce congestion in urban areas. With recent technological developments, more data have become available to the controllers and advanced state estimation and prediction methods have been developed that use these data. To fully benefit from these techniques in the design of signalized traffic controllers, it is important to look at the quality of the estimated and predicted input quantities in relation to the performance of the controllers. Therefore, in this paper, a general framework for sensitivity analysis is proposed, to analyze the effect of erroneous input quantities on the performance of different types of signalized traffic control. The framework is illustrated for predictive control with different adaptivity levels. Experimental relations between the performance of the control system and the prediction horizon are obtained for perfect and erroneous predictions. The results show that prediction improves the performance of a signalized traffic controller, even in most of the cases with erroneous input data. Moreover, controllers with high adaptivity seem to outperform controllers with low adaptivity, under both perfect and erroneous predictions. The outcome of the sensitivity analysis contributes to understanding the relations between information quality and performance of signalized traffic control. In the design phase of a controller, this insight can be used to make choices on the length of the prediction horizon, the level of adaptivity of the controller, the representativeness of the objective of the control system, and the input quantities that need to be estimated and predicted the most accurately.

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A Face Image Virtualization Mechanism for Privacy Intrusion Prevention in Healthcare Video Surveillance Systems

Symmetry ◽

10.3390/sym12060891 ◽

2020 ◽

Vol 12 (6) ◽

pp. 891 ◽

Cited By ~ 3

Author(s):

Jinsu Kim ◽

Namje Park

Keyword(s):

Video Surveillance ◽

Visual Information ◽

Face Image ◽

Video Data ◽

Surveillance Systems ◽

Image Information ◽

Video Information ◽

Face Area ◽

Blockchain Technology ◽

Wide Range

Closed-circuit television (CCTV) and video surveillance systems (VSSs) are becoming increasingly more common each year to help prevent incidents/accidents and ensure the security of public places and facilities. The increased presence of VSS is also increasing the number of per capita exposures to CCTV cameras. To help protect the privacy of the exposed objects, attention is being drawn to technologies that utilize intelligent video surveillance systems (IVSSs). IVSSs execute a wide range of surveillance duties—from simple identification of objects in the recorded video data, to understanding and identifying the behavioral patterns of objects and the situations at the incident/accident scenes, as well as the processing of video information to protect the privacy of the recorded objects against leakage. Besides, the recorded privacy information is encrypted and recorded using blockchain technology to prevent forgery of the image. The technology herein proposed (the “proposed mechanism”) is implemented to a VSS, where the mechanism converts the original visual information recorded on a VSS into a similarly constructed image information, so that the original information can be protected against leakage. The face area extracted from the image information is recorded in a separate database, allowing the creation of a restored image that is in perfect symmetry with the original image for images with virtualized face areas. Specifically, the main section of this study proposes an image modification mechanism that inserts a virtual face image that closely matches a predetermined similarity and uses a blockchain as the storage area.

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Traffic management in cities

10.12737/monography_5c934bfbb92895.69806950 ◽

2019 ◽

Cited By ~ 1

Author(s):

Елена Андреева ◽

Elena Andreeva ◽

Кристиан Бёттгер ◽

Kristian Bettger ◽

Екатерина Белкова ◽

...

Keyword(s):

Traffic Management ◽

Engineering Students ◽

Urban Traffic ◽

Urban Transport ◽

Population Increase ◽

Transport Systems ◽

Traffic Flows ◽

Organization And Management ◽

Wide Range ◽

Traffic Management System

The monograph is devoted to the consideration of issues relevant to the vast majority of cities-the organization and management of traffic flows to improve the mobility of the population, increase the speed and reduce the cost of transportation of passengers and goods, reduce the burden on the environment, etc. The book provides an overview of existing models, methods and tools for modeling and managing traffic flows in cities. The author identifies the main modern challenges to sustainable development of urban transport systems, which should be taken into account in the development of urban traffic management system. The authors substantiate the need for a systematic approach in the development of traffic management systems in cities and propose a practical tool for its implementation — an integrated digital platform for urban traffic management. Describes the experience of creation and application of an integrated automated control system of traffic management TransInfo and its improved version RITM, for the city of Moscow. In conclusion, the forecast of further development of research and development in the field of modeling and management of transport mobility is given. The book is of interest to a wide range of readers involved in the modeling and management of traffic flows, experts in the field of transport planning, scientists, engineers, economists and mathematicians, as well as graduate students and engineering students.

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What are the challenges of pedestrian safety from the viewpoints of traffic and transport stakeholders? A qualitative Study

10.21203/rs.3.rs-41143/v1 ◽

2020 ◽

Author(s):

Morteza Haghighi ◽

Fatemeh Bakhtari Aghdam ◽

Homayoun Sadeghi-Bazargani ◽

Haidar Nadrian

Keyword(s):

Traffic Management ◽

Management System ◽

Traffic Accidents ◽

Holistic Approach ◽

Pedestrian Safety ◽

Urban Traffic ◽

Vulnerable Groups ◽

Individual Interviews ◽

Wide Range ◽

Traffic Management System

Abstract Background Pedestrians are among the most vulnerable groups in traffic accidents. Our aim in this study was to explore the challenges associated to pedestrian safety from the perspective of traffic and transport stakeholders. Methods In 2018, applying a qualitative approach, twenty-four traffic and transport stakeholders were invited to participate in semi-structured individual interviews in Tabriz, Iran. To analyze data, conventional content analysis approach was used. MAXQDA software version 11 was applied to manage data analysis process. Findings: Participants reported a wide range of challenges which were grouped into six categories: "Challenges related to pedestrians", "Challenges related to drivers", "Management system challenges", "Environmental infrastructure challenges", "Educational and media challenges", and "Challenges of legislation and enforcement". Conclusion We identified pedestrian safety as a challenging urban traffic and transport issue with specific complexities, particularly in the management system. With a holistic approach to the challenges, as discussed inside, all reported obstacles seem to be overshadowed by one core challenge, namely the lack of a traffic management system with health-oriented approach and enough authority. Using evidence while policy-making and intervention planning, as well as media support is recommended.

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Metaheuristics for Traffic Control and Optimization: Current Challenges and Prospects

10.5772/intechopen.99395 ◽

2021 ◽

Author(s):

Arshad Jamal ◽

Hassan M. Al-Ahmadi ◽

Farhan Muhammad Butt ◽

Mudassir Iqbal ◽

Meshal Almoshaogeh ◽

...

Keyword(s):

Traffic Control ◽

Urban Areas ◽

Traffic Management ◽

Information Technologies ◽

Future Research ◽

Signal Control ◽

Traffic Signal Control ◽

Traffic Operations ◽

Traffic Light ◽

Urban Networks

Intelligent traffic control at signalized intersections in urban areas is vital for mitigating congestion and ensuring sustainable traffic operations. Poor traffic management at road intersections may lead to numerous issues such as increased fuel consumption, high emissions, low travel speeds, excessive delays, and vehicular stops. The methods employed for traffic signal control play a crucial role in evaluating the quality of traffic operations. Existing literature is abundant, with studies focusing on applying regression and probability-based methods for traffic light control. However, these methods have several shortcomings and can not be relied on for heterogeneous traffic conditions in complex urban networks. With rapid advances in communication and information technologies in recent years, various metaheuristics-based techniques have emerged on the horizon of signal control optimization for real-time intelligent traffic management. This study critically reviews the latest advancements in swarm intelligence and evolutionary techniques applied to traffic control and optimization in urban networks. The surveyed literature is classified according to the nature of the metaheuristic used, considered optimization objectives, and signal control parameters. The pros and cons of each method are also highlighted. The study provides current challenges, prospects, and outlook for future research based on gaps identified through a comprehensive literature review.

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PRIORITY BASED TRAFFIC LIGHTS CONTROLLER USING WIRELESS SENSOR NETWORKS

International Journal of Electronics Signals and Systems ◽

10.47893/ijess.2013.1100 ◽

2013 ◽

pp. 178-181

Author(s):

K. R. SHRUTHI ◽

K. VINODHA

Keyword(s):

Traffic Control ◽

Urban Areas ◽

Traffic Management ◽

International Standards ◽

Wireless Sensor ◽

Traffic Light ◽

Traffic Lights ◽

Adaptive Traffic Control ◽

And Control ◽

Multiple Intersections

Vehicular traffic is continuously increasing around the world, especially in large urban areas. The resulting congestion has become a major concern to transportation specialists and decision makers. The existing methods for traffic management, surveillance and control are not adequately efficient in terms of performance, cost, maintenance, and support. In this paper, the design of a system that utilizes and efficiently manages traffic light controllers is presented. In particular, we present an adaptive traffic control system based on a new traffic infrastructure using Wireless Sensor Network (WSN). These techniques are dynamically adaptive to traffic conditions on both single and multiple intersections. An intelligent traffic light controller system with a new method of vehicle detection and dynamic traffic signal time manipulation is used in the project. The project is also designed to control traffic over multiple intersections and follows international standards for traffic light operations. A central monitoring station is designed to monitor all access nodes..

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Smart Accident Detection and Switching of Traffic Signal

International Journal of Engineering and Advanced Technology - Regular Issue ◽

10.35940/ijeat.b3553.129219 ◽

2019 ◽

Vol 9 (2) ◽

pp. 1142-1145

Keyword(s):

Traffic Control ◽

Traffic Management ◽

Traffic Signals ◽

Traffic Signal ◽

Rf Receiver ◽

Mems Sensor ◽

Traffic Control System ◽

Traffic Management System ◽

Smart Traffic ◽

Accident Detection

An accident is one of the major causes of unnatural and untimely death. This is one of the serious issues throughout the world. Most of the accidents occur due to vehicle factors, improper traffic management, and lack of timely help. With the increase in the number of vehicles, it may be little hard to keep away from such accidents on road. The main objective is to implement the new advancements in saving human lives by detecting the occurrence of the accident in a vehicle and by directing the ambulance to the accident location without time delay. Also by implementing smart traffic control system, the ambulance moves to medical centre in an effective way without any stall in the traffic signals. Automation of accident detection is implemented by sensor-based ambulance management with the smart traffic management system. It consists of Crash sensor and MEMS sensor for detecting the accident in the vehicle and RF transmitter on the ambulance to communicate with the RF Receiver located on the traffic signal. This helps the ambulance to cross the junction switching the signals from Red to Green when the signal is received by the ambulance.

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