Generation of Routes with Points-of-Interest to Help Users in Their Trip

  • Ana María Magdalena Saldaña
  • Jose Giovanni Guzmán
  • Marco Antonio Moreno
  • Miguel Torres
  • Rolando Quintero
  • Oleksiy Pogrebnyak
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8582)

Abstract

Many research areas are developing applications that use the Global Positioning System (GPS) to improve human’s life. In routing systems most of the studies are centered in time improvements. Despite they notify users the instructions that they should follow in their travels, they do not include support elements that could be useful as land marks or points of interest. We propose the Generation of Routes with Points of interest (GRP), a methodology based on an application ontology, that will be used to describe points of interest as shops, hospitals and schools, among others, located on the roadways of study area. The GRP gives users the instructions to go from one place to another combining geospatial analysis tools, web and mobile technologies. The routes generated begin in the mobile position and after a geospatial process, the user gets a map with the route, points of interest and instructions to change the direction to help him on his trip.

Keywords

Ontology point-of-interest routing geospatial processing mobile platform 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Android Mobile Platform, http://www.android.com
  2. 2.
    Bierlaire, M., Newman, J., Chen, J.: A probabilistic map matching method for smartphone GPS data. Transport and Mobility Laboratory, Ecole Polytechnique Fédérale de Lausanne, Switzerland. Transportation Research Part C. Elsevier (2012)Google Scholar
  3. 3.
    Castro, M., Iglesias, L., Sánchez, J.A., Ambrosio, L.: Sight distance analysis of highways using GPS tools. Transportation Research Part C. Elsevier (2011)Google Scholar
  4. 4.
    Findley, D.J., Zegeer, C.V., Sundstrom, C.A.: Finding and Measuring Horizontal Curves in a Large Highway Network A GIS Approach. North Carolina State University, Raleigh (2011)Google Scholar
  5. 5.
    Hunter, M.P., Kook Wu, S., Kyoung, K., Suh, W.: A Probe-Vehicle-Based Evaluation of Adaptive Traffic Signal Control. IEEE Transactions on Intelligent Transportation Systems 13(2) (2012)Google Scholar
  6. 6.
    Imran, H., Hassan, Y.: GPS-GIS-Based Procedure for Tracking Vehicle Path on Horizontal Aligments. Computer Aided Civil and Infrastructure Engineering, 383–394 (2006)Google Scholar
  7. 7.
    JavaScript Object Notation, http://www.json.org
  8. 8.
    Kulik, L., Duckham, M., Egenhofer, M.J.: Ontology-Driven Map Generalization. Journal of Visual Languages and Computing 16(3), 245–267 (2005)CrossRefGoogle Scholar
  9. 9.
    Liao, L., Patterson, D.J., Fox, D., Kautz, H.: Building personal maps from GPS Data. Department of Computer Science and Engineering, University of Washington Seattle, Washington 98195, USA (2006)Google Scholar
  10. 10.
    Luna, V.: Desarrollo de un algoritmo para rutas semánticamente ponderado. Instituto Politécnico Nacional, Centro de Investigación en Computación. México (2012)Google Scholar
  11. 11.
  12. 12.
  13. 13.
  14. 14.
    Orellana, D., Bregt, A.K., Ligtenberg, A.: Exploring visitor movements patterns in natural recreational areas. Wageningen University, Centre for Geo-Information Science and Remote Sensing, Países Bajos. Tourism Management. Elsevier (2011)Google Scholar
  15. 15.
  16. 16.
  17. 17.
  18. 18.
  19. 19.
  20. 20.
    Quantum GIS Project, http://www.qgis.org
  21. 21.
    Quddus, M.A., Noland, R.B., Ochieng, W.Y.: Validation of map matching algorithms using high precision positioning with GPS. The Journal of Navigation 58(02), 257–271 (2005)CrossRefGoogle Scholar
  22. 22.
    Stojmenovic, I., Giordano, S., Blazevic, L.: Position Based Routing Algorithms for Ad Hoc Networks a Taxonomy. University of Ottawa, Ontario Canadá (2008)Google Scholar
  23. 23.
    Suárez, M.C., García, R., Villazón, B., Gómez Pérez, A.: Essential. In: Ontology Engineering Methodologies, Languages, and Tools. Ontological Engineering State of the Art. Ontology Engineering Group, Universidad Politécnica de Madrid (2011)Google Scholar
  24. 24.
    Winter, S., Truelove, M.: Talking About Place Where it Matters. Department of Infrastructure Engineering, Universidad de Melbourne, Parkville, Australia. Lecture Notes in Geoinformation and Cartography. Springer, Heidelberg (2011)Google Scholar
  25. 25.
    Wu, Y., Winter, S.: Interpreting Destination Descriptions in a Cognitive Way. Department of Infrastructure Engineering, University of Melbourne. Parkville, Australia (2011)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Ana María Magdalena Saldaña
  • Jose Giovanni Guzmán
  • Marco Antonio Moreno
  • Miguel Torres
  • Rolando Quintero
  • Oleksiy Pogrebnyak

There are no affiliations available

Personalised recommendations