Context-Based Trip Planning in Infomobility System for Public Transport

  • Alexander Smirnov
  • Nikolay Teslya
  • Nikolay Shilov
  • Alexey Kashevnik
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 450)

Abstract

During the urbanization process, many cities face the problem of comfortable and safe transportation for their inhabitants. One of solutions of this problem is an intelligent transportation systems (ITS) development: from simple personal navigation services to automated traffic management systems. A further development of ITS in connection with context management leads to the appearance of infomobility systems that provide access to personalized information, routes, and services based on the user’s geographic location. The paper describes an approach to trip planning using public transport network. The approach applies a multigraph with dynamic edges’ weighting based on the information about routes and context that describes current situation in the network. Context management and dynamic edges’ weighting allows to find a route that satisfies user’s preferences and to adjust the route in real time in case of current situation changes.

Keywords

Infomobility Graph Route planning Context management Public transport 

References

  1. 1.
    Directive 2010/40/EU of the European parliament and of the council of 7 July 2010 on the framework for the deployment of Intelligent Transport Systems in the field of road transport and for interfaces with other modes of transport. http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:207:0001:0013:EN:PDF (Accessed 08.02.2016)
  2. 2.
    Ambrosino, G., Boero, M., Nelson, J.D., Romanazzo, M.: Introduction. Infomobility Systems and Sustainable Transport Services. ENEA, Chapter 1, 340p. (2010)Google Scholar
  3. 3.
    Moraitis, P., Petraki, E., Spanoudakis, N.I.: Providing advanced, personalised infomobility services using agent technology. Appl. Innov. Intell. Syst. XI 2004, 35–48 (2004)Google Scholar
  4. 4.
    Canali, C., Lancellotti, R.: A distributed architecture to support infomobility services. In: Proceedings of the 2nd International Workshop on Advanced Architectures and Algorithms for Internet Delivery and Applications, (Pisa, Italy), ACM International Conference Proceeding Series, vol. 198 (2006)Google Scholar
  5. 5.
    Rehrl, K., Bruntsch, S., Mentz, H.J.: Assisting multimodal travelers: design and prototypical implementation of a personal travel companion. IEEE Trans. Intell. Transp. Syst. 8(1), 31–42 (2007)CrossRefGoogle Scholar
  6. 6.
    Brennan, S., Meier, R.: STIS: smart travel planning across multiple modes of transportation. In: IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, pp. 666–671 (2007)Google Scholar
  7. 7.
    Arikawa, M., Konomi, S., Ohnishi, K.: Navitime: supporting pedestrian navigation in the real world. Pervasive Comput. 6(3), 21–29 (2007)CrossRefGoogle Scholar
  8. 8.
    Xiang, Q.J., Ma, Y.F., Lu, J., Xie, J.P., Sha, H.Y.: Framework design of highway traveller information system of Jiangsu Province of China. Intell. Transp. Syst. IET 1(2), 110–116 (2007)CrossRefGoogle Scholar
  9. 9.
    Natvig, M.K., Westerheim, H.: National multimodal travel information—a strategy based on stakeholder involvement and intelligent transportation system architecture. Intell. Transp. Syst. IET 1(2), 102–109 (2007)CrossRefGoogle Scholar
  10. 10.
    Umlauft, M., Pospischil, G., Niklfeld, G., Michlmayr, E.: LoL@, a mobile tourist guide for UMTS. Inf. Technol. Tourism 5(3), 151–164 (2003)CrossRefMATHGoogle Scholar
  11. 11.
    Huang, D., Liu, F., Shi, X., Yang, G., Zheng, L., Zhou, Z.: MapWeb: a location-based converged communications platform. Bell Labs Tech. J. 11(1), 159–171 (2006)CrossRefGoogle Scholar
  12. 12.
    García, C.R., Pérez, R., Lorenzo, A., Quesada-Arencibia, A., Alayón, F., Padrón, G.: Architecture of a framework for providing information services for public transport. Sens. (Switz.) 12(5), 5290–5309 (2012)CrossRefGoogle Scholar
  13. 13.
    Moraitis, P., Petraki, E., Spanoudakis, N.I.: An agent-based system for infomobility services. In: 3rd European Workshop on Multi-agent Systems (EUMAS2005), pp. 224–235 (2005)Google Scholar
  14. 14.
    Korzun, D., Galov, I., Balandin, S.: Proactive personalized mobile mutliblogging service on SmartM3. J. Comput. Inf. Technol. 20(3), 175–182 (2012)Google Scholar
  15. 15.
    General transit feed specification (GTFS). Google Developers. https://developers.google.com/transit/gtfs/ (Accessed: 08.02.2016)
  16. 16.
    Hart, P.E.; Nilsson, N.J.; Raphael, B.: A formal basis for the heuristic determination of minimum cost paths. IEEE Trans. Syst. Sci. Cybern. 4(2), 100–107 (1968)Google Scholar
  17. 17.
    Dijkstra, E.W.: A note on two problems in connexion with graphs. Numer. Math. 1(1), 269–271 (1959)MathSciNetCrossRefMATHGoogle Scholar
  18. 18.
    St. Petersburg Public Transport Portal http://transport.orgp.spb.ru/Portal/transport/main?lang=en (Accessed: 08.02.2016)

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Alexander Smirnov
    • 1
    • 2
  • Nikolay Teslya
    • 1
    • 2
  • Nikolay Shilov
    • 1
    • 2
  • Alexey Kashevnik
    • 1
    • 2
  1. 1.SPIIRASSt. PetersburgRussia
  2. 2.ITMO UniversitySt. PetersburgRussia

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