Home            Contact us            FAQs
    
      Journal Home      |      Aim & Scope     |     Author(s) Information      |      Editorial Board      |      MSP Download Statistics

     Research Journal of Applied Sciences, Engineering and Technology

    Abstract
2013(Vol.5, Issue:22)
Article Information:

Response Surface Methodology in-Cooperating Embedded System for Bus’s Route Optimization

Muhammad Rauf, Ahmed N. Abdalla, Azhar Fakharuddin and Elisha Tadiwa
Corresponding Author:  Muhammad Rauf 
Submitted: July 24, 2012
Accepted: August 21, 2012
Published: May 25, 2013
Abstract:
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 routes’ 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 route’s coordinates optimization.

Key words:  Embedded system, intelligent transportation system, optimization, radio transceivers, , ,
Abstract PDF HTML
Cite this Reference:
Muhammad Rauf, Ahmed N. Abdalla, Azhar Fakharuddin and Elisha Tadiwa, . Response Surface Methodology in-Cooperating Embedded System for Bus’s Route Optimization. Research Journal of Applied Sciences, Engineering and Technology, (22): 5170-5181.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Information
   Sales & Services
Home   |  Contact us   |  About us   |  Privacy Policy
Copyright © 2024. MAXWELL Scientific Publication Corp., All rights reserved