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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 108
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Total Authors : 18064
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| Paper Title: | SWARM Intelligence Based Traffic Management System |
| Authors Name: | Ausarmal Satyajeet Vidyasagar , Dange AltafHusein Lutupuddin , Deokar Swapnil Tukaram , Patil Anil A. |
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| Author Reg. ID: |
IJRTI_170100
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| Published Paper Id: | IJRTI1703028 |
| Published In: | Volume 2 Issue 3, March-2017 |
| DOI: | |
| Abstract: | 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. 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. Now in our project we are implementing this swarm technology for the purpose of traffic control by signal-to-signal control. Currently the systems that are implemented are based on fixed timers 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 developing 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. One more new feature is added that is android application designed through App-Inventor that helps to locate the least congestion route for a traveller based on his or her destination. |
| Keywords: | KEYWORDS: App-Inventor, Embedded System, Swarm Intelligence, Traffic Congestion. |
| Cite Article: | "SWARM Intelligence Based Traffic Management System", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.2, Issue 3, page no.135 - 137, March-2017, Available :http://www.ijrti.org/papers/IJRTI1703028.pdf |
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| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI1703028
Registration ID:170100
Published In: Volume 2 Issue 3, March-2017
DOI (Digital Object Identifier):
Page No: 135 - 137 Country: baramati, dist. pune, maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI1703028 Published Paper PDF: https://www.ijrti.org/papers/IJRTI1703028 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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