Skip to main content
Top

2020 | OriginalPaper | Chapter

Visual Analytics in Mobility, Transportation and Logistics

Authors : Kawa Nazemi, Dirk Burkhardt, Lukas Kaupp, Till Dannewald, Matthias Kowald, Egils Ginters

Published in: ICTE in Transportation and Logistics 2019

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Mobility, transportation and logistics are more and more influenced by a variety of indicators such as new technological developments, ecological and economic changes, political decisions and in particular humans’ mobility behavior. These indicators will lead to massive changes in our daily live with regards to mobility, transportation and logistics. New technologies will lead to a different mobility behavior with new constraints. These changes in mobility behavior and logistics require analytical systems to forecast the required information and probably appearing changes. These systems have to consider different perspectives and employ multiple indicators. Visual Analytics provides both, the analytical approaches by including machine learning approaches and interactive visualizations to enable such analytical tasks. In this paper the main indicators for Visual Analytics in the domain of mobility transportation and logistics are discussed and followed by exemplary case studies to illustrate the advantages of such systems. The examples are aimed to demonstrate the benefits of Visual Analytics in mobility.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Thomas, J.J., Cook, K.A.: Illuminating the Path: The Research and Development Agenda for Visual Analytics. National Visualization and Analytics (2005) Thomas, J.J., Cook, K.A.: Illuminating the Path: The Research and Development Agenda for Visual Analytics. National Visualization and Analytics (2005)
2.
go back to reference Nazemi, K.: Adaptive Semantics Visualization. Studies in Computational Intelligence, vol. 646 (2016)CrossRef Nazemi, K.: Adaptive Semantics Visualization. Studies in Computational Intelligence, vol. 646 (2016)CrossRef
3.
go back to reference Keim D., Andrienko, G., et al.: Visual analytics: definition, process, and challenges. In: Information Visualization. LNCS, vol. 4950, pp. 154–175. Springer, Berlin (2008) Keim D., Andrienko, G., et al.: Visual analytics: definition, process, and challenges. In: Information Visualization. LNCS, vol. 4950, pp. 154–175. Springer, Berlin (2008)
4.
go back to reference Keim, D.A., Mansmann, F., et al.: Visual analytics: scope and challenges. In: Visual Data Mining: Theory, Techniques and Tools for Visual Analytics. LNCS, vol. 4404, pp. 76–90. Springer, Berlin (2008) Keim, D.A., Mansmann, F., et al.: Visual analytics: scope and challenges. In: Visual Data Mining: Theory, Techniques and Tools for Visual Analytics. LNCS, vol. 4404, pp. 76–90. Springer, Berlin (2008)
5.
go back to reference Thomas, J.: Visual analytics a grand challenge in science – turning information overload into the opportunity of the decade. In: Proceedings of APVIS 2007 (2007) Thomas, J.: Visual analytics a grand challenge in science – turning information overload into the opportunity of the decade. In: Proceedings of APVIS 2007 (2007)
6.
go back to reference Thomas, J., Kielman, J.: Challenges for visual analytics. Inf. Visual. J. 11, 309–314 (2009)CrossRef Thomas, J., Kielman, J.: Challenges for visual analytics. Inf. Visual. J. 11, 309–314 (2009)CrossRef
7.
go back to reference Keim, D., Kohlhammer, J., Ellis, G., Mansmann, F.: Matering the Information Age Solving Problems with Visual Analytics. Eurographics Association (2010) Keim, D., Kohlhammer, J., Ellis, G., Mansmann, F.: Matering the Information Age Solving Problems with Visual Analytics. Eurographics Association (2010)
8.
go back to reference Card, S.K., Mackinlay, J.D., Shneiderman, B.: Readings in Information Visualization: Using Vision to Think, 1st edn. Morgan Kaufmann, Massachusetts (1999) Card, S.K., Mackinlay, J.D., Shneiderman, B.: Readings in Information Visualization: Using Vision to Think, 1st edn. Morgan Kaufmann, Massachusetts (1999)
10.
go back to reference Ansoffi, H.: Managing strategic surprise by response to weak signals. Calif. Manag. Rev. 18(2), 21–33 (1975)CrossRef Ansoffi, H.: Managing strategic surprise by response to weak signals. Calif. Manag. Rev. 18(2), 21–33 (1975)CrossRef
11.
go back to reference Nazemi, K., Burkhardt, D.: Visual analytics for analyzing technological trends from text. In: Proceedings of IV2019, pp. 191–200. IEEE (2019) Nazemi, K., Burkhardt, D.: Visual analytics for analyzing technological trends from text. In: Proceedings of IV2019, pp. 191–200. IEEE (2019)
12.
go back to reference Nazemi, K., Retz, R., Burkhardt, D., et al.: Visual trend analysis with digital libraries. In: Proceedings of the 15th International Conference on Knowledge Technology and Data-driven Business, Graz, pp. 14:1–14:8. ACM (2015) Nazemi, K., Retz, R., Burkhardt, D., et al.: Visual trend analysis with digital libraries. In: Proceedings of the 15th International Conference on Knowledge Technology and Data-driven Business, Graz, pp. 14:1–14:8. ACM (2015)
13.
go back to reference Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3, 993–1022 (2003)MATH Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3, 993–1022 (2003)MATH
14.
go back to reference Nazemi, K., Burkhardt, D.: A visual analytics approach for analyzing technological trends in technology and innovation management. In: Advances in Visual Computing, pp. 283–294. Springer, Cham (2019)CrossRef Nazemi, K., Burkhardt, D.: A visual analytics approach for analyzing technological trends in technology and innovation management. In: Advances in Visual Computing, pp. 283–294. Springer, Cham (2019)CrossRef
Metadata
Title
Visual Analytics in Mobility, Transportation and Logistics
Authors
Kawa Nazemi
Dirk Burkhardt
Lukas Kaupp
Till Dannewald
Matthias Kowald
Egils Ginters
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-39688-6_12

Premium Partner