Localization based intelligent traffic management system

Praveen Goel, R. H. Goudar (), Rohit Malik, Ranjeet Singh and Nitish Kumar Singh
Additional contact information
Praveen Goel: Graphic Era University
R. H. Goudar: Visvesvaraya Technological University (VTU)
Rohit Malik: Graphic Era University
Ranjeet Singh: Graphic Era University
Nitish Kumar Singh: Graphic Era University

International Journal of System Assurance Engineering and Management, 2017, vol. 8, issue 1, No 9, 90-98

Abstract: Abstract Traffic management is a real challenge that is faced by almost every metropolitan city of the world. As due to the increase in number of public as well as private transportation on roads, traffic problem bound to exist. Therefore in order to sort out this problem an intelligent traffic management system is introduced in this paper, according to which we would be able to control the flow time at cross roads in an efficient way and in addition to this we are also introducing a new traffic assistance system for the drivers. Initially we had divided the city in a set of seed nodes where every seed node is installed with a server capable of maintaining the database of all the vehicles present in a particular area allotted to it. For the traffic assistance the driver will be interacting with the server through an installed hardware. This hardware is capable of localizing every vehicle with a use of sensor network containing gyroscopic sensor, altimeter and magnetic compass as the main components. This calculated location is transmitted to the server for the database updating and at the same time the hardware will be displaying the current traffic conditions by accessing the same database.

Keywords: Traffic assistance system; Intelligent traffic; Localization (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s13198-015-0407-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:8:y:2017:i:1:d:10.1007_s13198-015-0407-x

Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198

DOI: 10.1007/s13198-015-0407-x

Access Statistics for this article

International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().