Qmulus – A Cloud Driven GPS Based Tracking System for Real-Time Traffic Routing
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.
[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.
[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.
@article{"International Journal of Information, Control and Computer Sciences:62066", author = "Niyati Parameswaran and Bharathi Muthu and Madiajagan Muthaiyan", title = "Qmulus – A Cloud Driven GPS Based Tracking System for Real-Time Traffic Routing", 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", volume = "7", number = "1", pages = "126-6", }