Test Bed for Multiagent Control Systems in Road Traffic Management

2005 ◽  
Vol 1910 (1) ◽  
pp. 108-115
Author(s):  
R. T. van Katwijk ◽  
P. van Koningsbruggen ◽  
B. De Schutter ◽  
J. Hellendoorn
Keyword(s):  
Control Systems ◽  
Traffic Control ◽  
Traffic Management ◽  
Multiagent System ◽  
Road Traffic ◽  
Heterogeneous Traffic ◽  
Distributed Artificial Intelligence ◽  
Test Bed ◽  
Coordination Problem ◽  
Multiagent Control

A test bed for multiagent control systems in road traffic management is presented. As the complexity of traffic control on a network grows, it becomes more difficult to coordinate the actions of the large number of heterogeneous traffic management instruments that are available in the network. One way of handling this complexity is to divide the coordination problem into smaller coherent subproblems that can be solved with a minimum of interaction. Multiagent systems can aid in the distribution of the problem (over the various agents that compose the multiagent system) and facilitate the coordination of the activities of these agents when required. In the literature, no consensus exists about the best configuration of the traffic-managing multiagent system and how the activities of the agents that compose the multiagent system should be coordinated. The decomposition of a problem into various subproblems is an active field of research in the world of distributed artificial intelligence. A survey of approaches reported in the literature is presented. Subsequently, both the test bed and the modules that compose it are introduced. Finally, an application is presented that illustrates some of the research the test bed has made possible.

A Test Bed for Multi-Agent Control Systems in Road Traffic Management

2005 ◽  
pp. 113-131 ◽  
Author(s):  
R.T. van Katwijk ◽  
P. van Koningsbruggen ◽  
B. De Schutter ◽  
J. Hellendoorn
Keyword(s):  
Control Systems ◽  
Traffic Management ◽  
Road Traffic ◽  
Test Bed ◽  
Multi Agent ◽  
Agent Control

scholarly journals IMPROVE ROAD SAFETY WITH AUTOMATED TRAFFIC CONTROL

2021 ◽  
Vol 1 (48) ◽  
pp. 233-241
Author(s):  
Nahrebelna L ◽  
◽  
Korchevskaya A ◽  
Keyword(s):  
Control Systems ◽  
Traffic Control ◽  
Traffic Management ◽  
Road Network ◽  
Road Traffic ◽  
Road Transport ◽  
Management Systems ◽  
Automated Control ◽  
The Road ◽  
Information And Computer Technology

The article considers automated traffic flow control systems, their classification and description. Based on the above, it can be argued that traffic control systems have the characteristics of distributed, discrete and non-stationary complex systems used to solve traffic control problems by modern means of information and computer technology. The object of research is to improve traffic control with the help of automated control systems Purpose - analysis of automated traffic management systems With the rapid growth of the car fleet, there is an overload of the street and road network of cities. Even today, the street and road network does not meet the requirements for the organization and safety of road traffic. A survey of traffic flows shows that the road network operates at the capacity limit, and in some places exceeds this limit. The main reason for this transport situation in cities is the mismatch between the level of motorization and the density of the road network. Therefore, to improve, improve traffic control, it is proposed to use automated traffic management systems. But first you need to analyze them in detail. It is noted that the efficiency of the street and road network depends entirely on the effective balanced operation of all its elements. KEYWORDS: CAR, AUTOMATED SYSTEMS, ROAD TRANSPORT MANAGEMENT SYSTEMS, TRANSPORT NETWORK, TRANSPORT FLOW.

scholarly journals Mobile Road Traffic Management System Using Weighted Sensor

2017 ◽  
Vol 11 (5) ◽  
pp. 147 ◽  
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

<p><strong>Vehicular traffic is continuously increasing around the world, especially in urban areas, and the resulting congestion ha</strong><strong>s</strong><strong> be</strong><strong>come</strong><strong> 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 </strong><strong>was</strong><strong> simulated and the performance was </strong><strong>assessed</strong><strong> using response time, delay and throughput. Results showed that</strong><strong>,</strong><strong> mobile devices are capable of assisting road users’ in faster decision making by providing real-time traffic information and recommending alternative routes.</strong></p>

scholarly journals PARTICULARITIES OF AUTOMATED TRAFFIC CONTROL SYSTEMS IN THE CITIES OF UKRAINE

2013 ◽  
Vol 5 (5) ◽  
pp. 572-577 ◽  
Author(s):  
A. Stepanchuk ◽  
A. Bieliatynskyi ◽  
A. Pylypenko
Keyword(s):  
Control Systems ◽  
Traffic Control ◽  
Road Traffic ◽  
Traffic Network ◽  
Basic Concepts ◽  
Further Development

The article considers the basic concepts concerningthe possibility of increasing the efficiency and capacity of theroad traffic network in the cities of Ukraine. The paper alsoanalyzes some of the measures to improve road traffic managementthrough the further development of an automated trafficcontrol system.

scholarly journals A Back-of-Queue Model of a Signal-Controlled Intersection Approach Developed Based on Analysis of Vehicle Driver Behavior

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1204
Author(s):  
Elżbieta Macioszek ◽  
Damian Iwanowicz
Keyword(s):  
Traffic Control ◽  
Traffic Management ◽  
Energy Savings ◽  
New Technologies ◽  
Road Traffic ◽  
Smart Cities ◽  
Data Gathering ◽  
Transport Systems ◽  
Practical Applications ◽  
On The Road

In smart cities, it is expected that transport, communication as well as the movement of people and goods will take place in the shortest possible time while maintaining a high level of safety. In recent years, due to the significant increase in the number of passengers and vehicles on the road and the capacity limitations of transport networks, it has become necessary to use new technologies for intelligent control and traffic management. Intelligent transport systems use advanced technologies in the field of data gathering, information processing, and traffic control to meet current transport needs. To be able to effectively control and manage road traffic, it is necessary to have reliable mathematical models that allow for a faithful representation of the real traffic conditions. Models of this type are usually the basis of complex algorithms used in practice in road traffic control. The application of appropriate models reflecting the behavior of road users contributes to the reduction of congestion, the vehicles travel time on the transport network, fuel consumption and the emissions, which in turn support broadly understood energy savings. The article proposes a model that allows for the estimation of the maximum queue size at the signal-controlled intersection approach (so-called: maximum back-of-queue). This model takes into account the most important traffic characteristics of the vehicles forming this queue. The verification allowed for the conclusion that the proposed model is characterized by high compliance with the actual traffic and road conditions at the intersections with signal controllers located in built-up areas in Poland. The obtained compliance confirms the possibility of using the model for practical applications in calculating the maximum back-of-queue at signal-controlled intersections located in built-up areas in Poland.

Internet in the development of future road‐traffic control systems

2010 ◽  
Vol 20 (2) ◽  
pp. 154-168 ◽  
Author(s):  
Federico Barrero ◽  
Sergio Toral ◽  
Manuel Vargas ◽  
Francisco Cortés ◽  
Jose Manuel Milla
Keyword(s):  
Control Systems ◽  
Traffic Control ◽  
Road Traffic

scholarly journals Design and Simulation of a Decentralized Railway Traffic Control System

2016 ◽  
Vol 6 (2) ◽  
pp. 945-951 ◽  
Author(s):  
T. Kara ◽  
M. Cengiz Savas
Keyword(s):  
Control System ◽  
Control Systems ◽  
Traffic Control ◽  
Traffic Management ◽  
General Structure ◽  
Railway Transportation ◽  
Railway Line ◽  
Railway Traffic ◽  
Traffic Control System ◽  
Traffic Management System

With the increasing use of railway transportation, various methods have been developed for the control and management of train traffic. Train traffic control systems that are currently in use are overwhelmingly centralized systems. In this study, the development of the general structure of railway traffic control techniques is examined, centralized and decentralized control systems are investigated, and an alternative train traffic control system, the Decentralized Train Traffic Management System (DTMS), is suggested. Simulation results on the possible application of the proposed method to a railway line in South-East Turkey are employed to evaluate the performance of the developed system.

Going with the Flow - Computer Visualization of Road Traffic Information

1993 ◽  
Vol 37 (4) ◽  
pp. 353-357
Author(s):  
John Murray ◽  
Yili Liu
Keyword(s):  
Traffic Control ◽  
Traffic Management ◽  
Road Traffic ◽  
Human Subjects ◽  
Traffic Information ◽  
Color Coding ◽  
Control Center ◽  
Computer Visualization ◽  
Vehicular Speed ◽  
Real State

Advanced road traffic management systems provide numerous opportunities for the application of sophisticated computer visualization concepts. The operating staff in a traffic control center are required to assimilate large quantities of incoming data in order to determine the real state of traffic flow and congestion. Part of the incoming data relates to vehicular speed and density, and is often not subjected to sufficient pre-processing before presentation in tabular form on a video display terminal (VDT). Improvements in the format of the tabular information are therefore worthy of investigation. A traffic control simulation experiment was conducted to examine how human subjects extract information from VDT data presented in several different formats. Subjects were asked to respond to exceptional values which occurred randomly in tabular columns of frequently changing data. Their accuracy and reaction time were measured for data columns which were sorted or unsorted, and for data which was presented either numerically or color-coded. Analysis of the results suggests that both sorting and color-coding are significant in reducing response time, and that color-coding is appreciably more effective in this regard.

scholarly journals Structure of transformation of the road motion parameters in the control system

2019 ◽  
Vol 67 ◽  
pp. 05001
Author(s):  
Liudmyla Abramova ◽  
Yevhen Nahornyi ◽  
Henadii Ptytsia
Keyword(s):  
Traffic Control ◽  
Traffic Management ◽  
Management System ◽  
Road Traffic ◽  
Point Of View ◽  
System Structure ◽  
Intelligent Transport System ◽  
Traffic Efficiency ◽  
Traffic Management System ◽  
Transport Problems

Over the past decades, the world has witnessed an increase in the number of vehicles. According to the accident analysis and to the existing transport problems, the development of automated traffic control systems using adaptive management methods is the most optimal way to improve road traffic quality. From the technological point of view, the system must function according to the requirements for the traffic flow level and to the assessment of traffic efficiency, so a clear comparison of systems is impossible under the conditions of various principles for identifying managerial impacts and the designation of management system. The authors’ analysis of the most commonly used traffic management technologies proves that experts choose the system architecture that affects its functions and the ability to implement one or another method of management. In accordance with the ITS approach and management tasks at each hierarchy level, we believe that the traffic management system of the intelligent transport system should be based on the principle of multi-level architecture using ring Ethernet technologies, which corresponds more to the diamond-shaped system structure; it allows to distribute methods of traffic management for purposes and to separate the informational and technological elements of the system.

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