Digital Mapping of Roads and Network Navigation in Spatial Database Applications

Authors(2) :-Sk. Shalini, K.Bhushanam

GPS technology has been embedded into portable, low-cost electronic devices nowadays to track the movements of mobile objects. This implication has greatly impacted the transportation field by creating a novel and rich source of traffic data on the road network. Although the promise offered by GPS devices to overcome problems like underreporting, respondent fatigue, inaccuracies and other human errors in data collection is significant; the technology is still relatively new that it raises many issues for potential users. These issues tend to revolve around the following areas: data reliability, data processing and the related application. This thesis aims to study the GPS tracking from the methodological, technical and practical aspects. It first evaluates the reliability of GPS-based traffic data based on data from an experiment containing three different traffic modes (car, bike and bus) traveling along the road network. It then outline the general procedure for processing GPS tracking data and discuss related issues that are uncovered by using real-world GPS tracking data of 316 cars. Thirdly, it investigates the influence of road network density in finding optimal location for enhancing travel efficiency and decreasing travel cost.

Authors and Affiliations

Sk. Shalini
M.Tech Scholar Department of CSE, NRI Institute of Technology Visadala (V&M),Guntur(Dt), Andhra Pradesh, India
K.Bhushanam
Assistant Professor Department of CSE, NRI Institute of Technology Visadala (V&M),Guntur(Dt), Andhra Pradesh, India

GPS tracking, Reliability, Road network, Visualized map, Map-matching, P-median Model, Network density.

  1. Ashbrook, D., & Starner T. (2002). Learning significant locations and predicting user movement with GPS. In Wearable Computers, 2002. (ISWC 2002). Proceedings. Sixth International Symposium on (pp. 101-108). IEEE.
  2. Ashbrook, D. & Starner T. (2003). Using GPS to learn significant locations and predict movement across multiple users. Personal and Ubiquitous Computing, 7(5), 275-286.
  3. Etienne, L., Devogele, T., & Bouju, A. (2012). Spatio-temporal trajectory analysis of mobile objects following the same itinerary. Advances in Geo-Spatial Information Science, 10, 47.
  4. Giannotti, F., Nanni, M., Pedreschi, D., Pinelli, F., Renso, C., Rinzivillo, S., & Trasarti, R. (2011). Unveiling the complexity of human mobility by querying and mining massive trajectory data. The VLDB Journal—The International Journal on Very Large Data Bases, 20(5), 695-719.
  5. Godha, S., & Cannon, M. E. (2007). GPS/MEMS INS integrated system for navigation in urban areas. GPS Solutions, 11(3), 193-203.
  6. Hakimi, S. L. (1964). Optimal location of switching centers and the absolute centers and medians of graph. Operational Research, 12(3), 450-459.
  7. Hakimi, S. L. (1965). Optimal distribution of switching centers in a communications network and some related graph theoretic problems. Operations Research, 13, 462-475.
  8. Han, M., Håkansson, J. and Rebreyend, P. (2013). How do different densities in a network affect the optimal location of service centers? (Working paper for Transportation research, Series B: Methodological ISSN: 1650-5581, 2013:15). Dalarna University.
  9. Huang, J., & Tan, H. S. (2006). A low-order DGPS-based vehicle positioning system under urban environment. Mechatronics, IEEE/ASME Transactions on, 11(5), 567-575.
  10. Jia, T., Carling, K. & Håkansson, J. (2013). Trips and their CO2 emissions to and from a shopping centre. Journal of Transport Geography, 33, 135-145.
  11. Kariv, O. and Hakimi, S.L. (1979). An algorithmic approach to network location problems. Part 2: The p-median. SIAM J. Appl Math, 37, 539-560.
  12. Kharrat, A., Popa, I. S., Zeitouni, K., & Faiz, S. (2008). Clustering algorithm for network constraint trajectories. In Headway in Spatial Data Handling (pp. 631-647). Springer Berlin Heidelberg.
  13. Leduc, G. (2008). Road traffic data: Collection methods and applications. Working Papers on Energy, Transport and Climate Change, 1, 55.
  14. Modsching M., Kramer R., & ten Hagen K. (2006, March). Field trial on GPS Accuracy in a medium size city: The influence of built-up. In 3rd Workshop on Positioning, Navigation and Communication, 209-218.
  15. Murakami, E., & Wagner, D. P. (1999). Can using global positioning system (GPS) improve trip reporting? Transportation research part c: emerging technologies, 7(2), 149-165.
  16. Quiroga, C. A., & Bullock, D. (1999). Travel time information using global positioning system and dynamic segmentation techniques. Transportation Research Record: Journal of the Transportation Research Board, 1660(1), 48-57.
  17. Shoval, N. (2008). Tracking technologies and urban analysis. Cities, 25(1), 21-28.
  18. Huang, J., & Tan, H. S. (2006). A low-order DGPS-based vehicle positioning system under urban environment. Mechatronics, IEEE/ASME Transactions on, 11(5), 567-575.
  19. Jia T., Jiang B., Carling K., Bolin M. & Ban Y. (2012). An empirical study on human mobility and its agent-based modeling. Journal of Statistical Mechanics: Theory and Experiment, 2012(11), P11024.
  20. Jia T., Carling K. & Håkansson J. (2013). Trips and their CO2 emissions to and from a shopping center. Journal of Transport Geography, 33, 135-145.
  21. Kharrat, A., Popa, I. S., Zeitouni, K., & Faiz, S. (2008). Clustering algorithm for network constraint trajectories. In Headway in Spatial Data Handling (pp. 631-647). Springer Berlin Heidelberg.
  22. Krumm, J., & Horvitz, E. (2006). Predestination: Inferring destinations from partial trajectories. In UbiComp 2006: Ubiquitous Computing, 243-260. Springer Berlin Heidelberg.

Publication Details

Published in : Volume 4 | Issue 9 | July-August 2018
Date of Publication : 2018-08-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 490-495
Manuscript Number : IJSRSET1849125
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Sk. Shalini, K.Bhushanam, " Digital Mapping of Roads and Network Navigation in Spatial Database Applications , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 9, pp.490-495, July-August-2018.
Journal URL : http://ijsrset.com/IJSRSET1849125

Article Preview

Follow Us

Contact Us