alexa Abstract | Swarm Intelligence for Traffic Routing
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article Open Access

Abstract

Swarm Technology is basically a system which works on real time conditions and the members in the group interact with each other in a decentralized manner to achieve a particular objective via self -organization. Natural examples are ant colonies, schooling of fishes, etc. Swarm intelligence is a field of artificial intelligence. Artificial Intelligence of machine or software is that which studies and develops intelligent machine and software to make day to day life of humans much easier. Swarm behavior is a collect ive behavior exhibited by similar types of species which all together perform a particular task. Till date swarm technology is been used only for robot -to-robot implementation. We are using swarm technology in which it uses Nano bots to do a specific dedicated task. Basically this concept works on hierarchy of three stages in the manner Coordinator (mahaguru), Router (guru) and End device (bhakt ) which work in a coordinated manner and can take their own decisions. Now in our project we are implementing this swarm tech nology for the purpose of traffic control by signal-to-signal control. Currently the systems that are implemented are based on fixed t imers or fixed length signals leading to traffic jam. The fixed length timers can be used in smaller areas of low traffic, but for larger area or dense traffic junctions can lead to congestion. Our aim is to reduce this problem by implementing the variable timers. Depending upon the density of traffic, the adaptive timers will be set by using various algorithms. We are develo ping a scalable and distributed algorithm which can easily adapt the traffic signal plans. This project will also develop a realistic traffic signal development plans. Also safety will be given top priority in our system.

To read the full article Peer-reviewed Article PDF image | Peer-reviewed Full Article image

Author(s): M.S. Kanitkar, S.Prabhu, Rahul Chauhan, Akhileshbhat

Share This Page

Additional Info

Loading
Loading Please wait..
 
 
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords