Input Data Selection for Road Traffic Control Systems

2012 ◽  
Vol 24 (2) ◽  
Author(s):  
Bartłomiej Płaczek
2013 ◽  
Vol 5 (5) ◽  
pp. 572-577 ◽  
Author(s):  
A. Stepanchuk ◽  
A. Bieliatynskyi ◽  
A. Pylypenko

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.


2009 ◽  
Vol 23 (19) ◽  
pp. 2754-2764 ◽  
Author(s):  
Azadeh Ahmadi ◽  
Dawei Han ◽  
Mohammad Karamouz ◽  
Renji Remesan

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

Author(s):  
R. T. van Katwijk ◽  
P. van Koningsbruggen ◽  
B. De Schutter ◽  
J. Hellendoorn

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.


2003 ◽  
Vol 133 (1-2) ◽  
pp. 199-202 ◽  
Author(s):  
B Tomov ◽  
R Minev ◽  
R Radev ◽  
V Gagov

2021 ◽  
Vol 1 (48) ◽  
pp. 233-241
Author(s):  
Nahrebelna L ◽  
◽  
Korchevskaya A ◽  

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.


2019 ◽  
Vol 8 (2) ◽  
pp. 4662-4666

Modern road traffic control systems become more complex with each year due to the growing number of cars, demand for more optimized road network designs, and desire to decrease road traffic delays at the intersections during rush hours because of the constantly growing metropolitan area and hence the need of moving farther away across the city. Therefore, a need is very much relevant nowadays for technologies, which can help build more optimal and intelligent road traffic control systems, which in turn will help optimize already existing road network designs. With the help of computer modeling software, it is possible to recreate already existing segments of road network, and by implementing control logic, it is possible to observe how control system and road traffic would react to various changes. This paper looks at how computer modeling software (namely SUMO) can help with the validation of road traffic control system changes without the risks of road traffic accidents caused by manipulation of real control systems.


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