DocumentCode
690512
Title
Intelligent Traffic Light Based on Multi-agent System
Author
Ahmed, Arwa Ibrahim ; El seed, Ashraf Gasm
Author_Institution
Princes Nora Univ., Riyadh, Saudi Arabia
fYear
2013
fDate
23-24 Dec. 2013
Firstpage
89
Lastpage
92
Abstract
Time spent idle in traffic effects productivity, commercial transactions, development of services and standard of living, since ´time´ is the real capital nowadays. In addition, idle traffic at intersections burns a large amount of fossil fuels thus threatening the environment in general and the health of passers. Thus, reducing time spent in vehicles has been the goal of much traffic control research. This research demonstrates an agent system that has been developed to replace traffic police men. It designed to sense the traffic at the intersection and determine the number of vehicles that are present. It is then able to decide whether to allow the vehicles to pass or to stop. The proposed agent also makes use of information from similar agents managing adjacent intersections in order to further increase the efficiency of the traffic flow.
Keywords
multi-agent systems; traffic engineering computing; fossil fuels; intelligent traffic light; multiagent system; passer health; traffic control research; traffic flow; traffic police men; Artificial intelligence; Educational institutions; Junctions; Multi-agent systems; Object oriented modeling; Vehicle dynamics; Vehicles; Agent Simulation; Multi Agent System; inellgent traffic light;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Science Applications and Technologies (ACSAT), 2013 International Conference on
Conference_Location
Kuching
Type
conf
DOI
10.1109/ACSAT.2013.25
Filename
6836554
Link To Document