Visualization-Based Tracking System Using Mobile Device

  • Phuoc Vinh Tran
  • Trung Vinh Tran
  • Hong Thi Nguyen
Part of the Studies in Computational Intelligence book series (SCI, volume 551)

Abstract

Services monitoring freight vehicle on route have been responding an increasing number of demands of goods owners. This chapter proposes a visualization-based tracking system using mobile device to enable users to keep track of the status of their freights ubiquitously in real time by viewing comprehensive graphs on mobile devices. The system comprises a moving device implemented on vehicle, a mobile device serving as owner’s controller, data transmission line, and map service. Data of location and conditions of vehicle from moving device are transmitted to mobile device to display as graphs. Based on space-time cube, we developed a cube to visualize location and freight weight, where location changes over time and goods weight at locations and over time. A software of diverse display modes was implemented to convert collected data into visual graphs to facilitate users’ comprehension on the location of vehicle and the status of their goods in real time.

Keywords

mobile device visualization space-time cube tracking system visualization-based tracking system 

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References

  1. 1.
    Giannopoulos, G.A.: The application of information and communication technologies in transport. European Journal of Operational Research 152, 302–320 (2004)CrossRefMATHGoogle Scholar
  2. 2.
    Marentakis, C.A.: Telematics for Efficient Transportation and Distribution of Agrifood Products. In: Bourlakis, M., Vlachos, I., Zeimpekis, V. (eds.) Intelligent Agrifood Chains and Networks, pp. 87–108. Wiley-Blackwell (2011)Google Scholar
  3. 3.
    Santa, J., Zamora-Izquierdo, M.A., Jara, A.J., Gómez-Skarmeta, A.F.: Telematic platform for integral management of agricultural/perishable goods in terrestrial logistics. Computers and Electronics in Agriculture 80, 31–40 (2012), doi:http://dx.doi.org/10.1016/j.compag.2011.10.010 CrossRefGoogle Scholar
  4. 4.
    Siror, J.K., Sheng, H., Dong, W., Wu, J.: Application of RFID Technology to Curb Diversion of Transit Goods in Kenya. In: Fifth International Joint Conference on INC, IMS and IDC, NCM 2009, August 25-27, pp. 1532–1539 (2009), doi:10.1109/ncm.2009.84Google Scholar
  5. 5.
    Ruiz-Garcia, L., Barreiro, P., Rodríguez-Bermejo, J., Robla, J.I.: Review. Monitoring the intermodal, refrigerated transport of fruit using sensor networks. Spanish Journal of Agricultural Research 5(2), 142–156 (2007)CrossRefGoogle Scholar
  6. 6.
    Goel, A.: Fleet Telematics: Real-time management and planning of commercial vehicle operations. Operations Research/Computer Science Interfaces, vol. 40. Springer US (2008)Google Scholar
  7. 7.
    Kim, T., Choi, K.: GIS for Transportation. In: Kresse, W., Danko, D.M. (eds.) Springer Handbook of Geographic Information, pp. 503–521. Springer, Heidelberg (2012), doi:10.1007/978-3-540-72680-7_26Google Scholar
  8. 8.
    Goodchild, M.: GIS and transportation: Status and challenges. GeoInformatica 4(2), 127–139 (2000), doi:10.1023/a:1009867905167CrossRefMATHGoogle Scholar
  9. 9.
    Andrienko, N., Andrienko, G.: Designing visual analytics methods for massive collections of movement data. Cartographica: The International Journal for Geographic Information and Geovisualization 42(2), 117–138 (2007), doi:10.3138/carto.42.2.117CrossRefGoogle Scholar
  10. 10.
    SQLite, About SQLite (2013), http://www.sqlite.org/about.html (accessed March 1, 2013)
  11. 11.
    Hägerstraand, T.: What about people in regional science? Papers in Regional Science 24(1), 7–24 (1970), doi:10.1111/j.1435-5597.1970.tb01464.xCrossRefGoogle Scholar
  12. 12.
    Tran, P.V., Nguyen, H.T.: Visualization cube for tracking moving object. Paper presented at the Computer Science and Information Technology. Information and Electronics Engineering, Bangkok, Thailand (2011)Google Scholar
  13. 13.
    Kraak, M.J.: The space-time cube revisited from a geovisualization perspective, Durban, South Africa, August 10-16 (2003)Google Scholar
  14. 14.
    Kim, K., Brunner, I.M., Yamashita, E.Y.: Influence of land use, population, employment, and economic activity on accidents. Transportation Research Record: Journal of the Transportation Research Board 1953, 56–64 (2006)CrossRefGoogle Scholar
  15. 15.
    Kraak, M.J.: Geovisualization and Visual Analytics. Cartographica: The International Journal for Geographic Information and Geovisualization 42(2), 115–116 (2007), doi:10.3138/carto.42.2.115CrossRefGoogle Scholar
  16. 16.
    Andrienko, N., Andrienko, G.: Spatial generalization and aggregation of massive movement data. IEEE Transactions on Visualization and Computer Graphics 17(2), 205–219 (2011)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Phuoc Vinh Tran
    • 1
  • Trung Vinh Tran
    • 1
  • Hong Thi Nguyen
    • 1
  1. 1.University of Information TechnologyHochiminh CityVietnam

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