Abstract
Emergencies caused by unban traffic accidents, often lead the transportation system into congestion and paralysis, conventional passive response has been proven barely able to resolve these traffic problems. This article introduces an intelligently distributive multi-agent system (MAS) which possesses self-learning capacity and builds a system based on it. This system, through timely detection and operation on relevant parameters of urban transportation, estimates the incidence of traffic accident, and carries out traffic control and special rescue operation, after rescue plan disaggregated into different levels, by the use of layer-wise accumulation and distribution method, can avoid accidents upgrading or causing new congestion, greatly improve rescue efficiency. Therefore, it is a modern intelligent transportation system which could achieve rapid response to urban traffic accident. Language: en
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
