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Accident Avoiding Detection Support System Using Multi Agent System (MAS) |
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PP: 11-16 |
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doi:10.18576/aeta/120102
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Author(s) |
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K. C. Ranjan,
H. Kumar,
S. K. Mahato,
R. Prakash,
S. Gupta,
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Abstract |
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| The aim of this study is to increase the road safety and the quality of the entire road network, especially in case of congestion, accidents and jams, considering traffic information in real-time. Traffic crowding is a problem in most large cities globally. It occurs when the capacity of the road is exceeded, that results in reducing the speed. It can be caused or increased by various conditions like weather, road work, road traffic incidents. To deal with these problems, we developed a Multi Agent System (MAS) for Road Traffic Decision Making. Accident avoiding systems are studied on the basis of overall planning on how many types of accidents can happen and design a multi-agent system (MAS) structure and intelligent and information processing mechanism based on the target detection and recognition are proposed. The multi- agent operation process is analyzed deeply and designed in detail. In the specific agent construction, the information fusion technology is introduced to define the embedded agents and their interrelations in the system structure, and the intelligent processing ability of complex and uncertain problems is emphatically analyzed from the aspects of freedom and collaboration. The aim is to avoid the accident as much as possible. Analyzed that when the relative angle between the vehicles is greater than zero degree (when the vehicle is coming from the front) and when the relative speed of the vehicle is negative then the collision will occur.
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