Qmulus – A Cloud Driven GPS Based Tracking System for Real-Time Traffic Routing

Authors: Niyati Parameswaran, Bharathi Muthu, Madiajagan Muthaiyan

Abstract:

This paper presents Qmulus- a Cloud Based GPS Model. Qmulus is designed to compute the best possible route which would lead the driver to the specified destination in the shortest time while taking into account real-time constraints. Intelligence incorporated to Qmulus-s design makes it capable of generating and assigning priorities to a list of optimal routes through customizable dynamic updates. The goal of this design is to minimize travel and cost overheads, maintain reliability and consistency, and implement scalability and flexibility. The model proposed focuses on reducing the bridge between a Client Application and a Cloud service so as to render seamless operations. Qmulus-s system model is closely integrated and its concept has the potential to be extended into several other integrated applications making it capable of adapting to different media and resources.

Keywords: Cloud Services, GPS, Real-Time Constraints, Shortest Path, System Management and Traffic Routing

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1080384

References:

[1] Fatma Corut Ergin. "What is UML." mimoza.marmara.2011. Available:http://mimoza.marmara.edu.tr/~fatma.ergin/courses/cse344/P S/UML.pdf
[2] Tarun Karnwal, T. Sivakumar, G. Aghila, Cloud Services in Different Cloud Deployment Models. An Overview,International Journal of Computer Applications (0975 - 8887) Volume 34- No.8, November 2011.
[3] Chen, Wei and D. Levinson (2006), Traffic Management System Performance Using Regression Analysis: A case study of Mn/DOT-s Traffic Management Systems, California PATH Working Paper for California Department of Transportation UCB-ITS-PWP-2006-5.
[4] Mohammad A. Rob, Some challenges of integrating spatial and non spatial datasets using a geographical information system, Information Technology for Development 10 (2002) 1-8 ITD92.
[5] Juan Chamero,"Dijkstra's Algorithm As a Dynamic Programming strategy", intag.org, April2006, Available: http://www.intag.org/downloads/ds_006.pdf.
[6] Thammasak Thianniwet, Satidchoke Phosaard, Wasan Pattara-Atikom, Classification of Road Traffic Congestion Levels from GPS Data using a Decision Tree Algorithm and Sliding Windows, Proceedings of the World Congress on Engineering 2009 Vol IWCE 2009, July 1 - 3, 2009.
[7] Fondazione Eni Enrico Mattei & Scuola Superiore Enrico Mattei, Externalities in the Urban Transport: Assessing and Reducing the Impacts, International Symposium on Technological, Energy and Environmental Topics in Transport, October 27-29, 1998.
[8] Dillon, T., Cloud Computing: Issues and Challenges.
[9] On-Board VS Cloud Maps for Apps, gpsreview.net. Available: http://www.gpsreview.net/on-board-vs-cloud-maps-for-apps/.W.-K. Chen, Linear Networks and Systems (Book style). Belmont, CA: Wadsworth, 1993, pp. 123-135.