Home           Contact us           FAQs           
   Journal Page   |   Aims & Scope   |   Author Guideline   |   Editorial Board   |   Search
2013 (Vol. 5, Issue: 22)
Article Information:

Response Surface Methodology in-Cooperating Embedded System for Busís Route Optimization

Muhammad Rauf, Ahmed N. Abdalla, Azhar Fakharuddin and Elisha Tadiwa
Corresponding Author:  Muhammad Rauf 

Key words:  Embedded system, intelligent transportation system, optimization, radio transceivers, , ,
Vol. 5 , (22): 5170-5181
Submitted Accepted Published
July 24, 2012 August 21, 2012 May 25, 2013

The incessant increment of the population and lack of the reliable bus position notification system in big cities is causing the boost of the private owned cars, has reasoned traffic congestion problems. A reliable public transport notification system for passengers is able to resolve the issue stated above. First ever time, Response Surface Methodology (RSM) is adopted in this study to presents a new real time intelligent buses notification system using routesí coordinates optimization and wireless mesh network emerged in an embedded design. The von Mises and displacement equation is obtained through RSM and trained to the dedicated controller unit. A mature experimental setup is designed to analyze the equation validation. The result from statistical and experimental analysis using RSM implies that the target to optimize a single route coordinates into one digit representing bus stop number is achieved by ~98%. The outcomes of research as location data minimizing and transmission time reduction have a promised potential to a better and reliable public transport notification system using routeís coordinates optimization.
Abstract PDF HTML
  Cite this Reference:
Muhammad Rauf, Ahmed N. Abdalla, Azhar Fakharuddin and Elisha Tadiwa, 2013. Response Surface Methodology in-Cooperating Embedded System for Busís Route Optimization.  Research Journal of Applied Sciences, Engineering and Technology, 5(22): 5170-5181.
    Advertise with us
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
   Contact Information
  Executive Managing Editor
  Email: admin@maxwellsci.com
  Publishing Editor
  Email: support@maxwellsci.com
  Account Manager
  Email: faisalm@maxwellsci.com
  Journal Editor
  Email: admin@maxwellsci.com
  Press Department
  Email: press@maxwellsci.com
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2009. MAXWELL Science Publication, a division of MAXWELLl Scientific Organization. All rights reserved