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Evaluation of Multimodal Journey Planners and Definition of Service Levels

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Abstract

The demand for prior planning of travel chains and more available information during the journey is induced by the passengers’ growing requirements. Many journey planners are already available on the internet, but these often provide only partially comprehensive solutions and are difficult to be compared. For analysis and evaluation of the multimodal journey planners a framework of aspects has been developed, so that they can be compared in a quantitative way and ranked by functional, operational and visualization features. In the course of comparison some top features of the planners have been highlighted, too. Furthermore, development directions were determined, which are the following: multimodality, real-time data, location-based services and personalized recommendations for all transport modes. Hence the journey planners can be ordered into service levels.

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References

  1. Csiszár, Cs., Válóczi D., Valcheva T.: “Conscious Transport – influence of passengers by telematics systems”, 19th International Conference trans&motauto’11, Varna, Bulgaria, pp. 15–17. (2011)

  2. Mátrai, T., Kerényi, L.S., Juhász, M.: “Integrated transport management to enhance sustainable transport modes in Budapest”, European Transport Conference 2013, Frankfurt, Germany, pp. 1–10. (2013)

  3. Grotenhuis, J.-W., Wiegmans, B.W., Rietveld, P.: “The desired quality of integrated multimodal travel information in public transport: customer needs for time and effort savings”. Transp. Policy 14(1), 27–38 (2007)

    Article  Google Scholar 

  4. Leviäkangas, P.: “Building value in ITS services by analysing information service supply chains and value attributes”. Int. J. Intell. Transp. Syst. Res. 9(2), 47–54 (2011)

    Google Scholar 

  5. Kenyon, S., Lyons, G.: “the value of integrated multimodal traveller information and its potential contribution to modal change”. Transport. Res. F: Traffic Psychol. Behav. 6(1), 1–21 (2003)

    Article  Google Scholar 

  6. Spitadakis, V., Fostieri, M.: “WISETRIP – international multimodal journey planning and delivery of personalized trip information”. Procedia Soc. Behav. Sci. 48, 1294–1303 (2012)

    Article  Google Scholar 

  7. Dia, H., Panwai, S.: “Neural agent (neugent) models of driver behavior for supporting ITS simulations”. Int. J. Intell. Transp. Syst. Res. 9(1), 23–36 (2011)

    Google Scholar 

  8. Golob, F.T.: “Structural equation modeling for travel behavior research”. Transp. Res. B Methodol. 37(1), 1–25 (2003)

    Article  Google Scholar 

  9. Winkler, Á.: “A New “On-the-spot” Method to Discover Passenger Preferences in Public Transport”, Transport Research Arena (TRA) 2010, Brussels, Belgium, p. 8. (2010)

  10. Zhang, J., Arentze, T., Timmermans, H.: “Making our mobility more intelligent – A framework of a personalized multimodal traveller information system”, 12th WCTR, Lisbon, Portugal (2010)

  11. Seongmoon, K., Lewis, M.E., White, C.C.: “Optimal vehicle routing with real-time traffic information”. IEEE Trans. Intell. Transp. Syst. 6(2), 178–188 (2005)

    Article  Google Scholar 

  12. Nadi, S., Delavar, M.R.: “Multi-criteria, personalized route planning using quantifier-guided ordered weighted averaging operators”. Int. J. Appl. Earth Obs. Geoinformation 13, 322–335 (2011)

    Article  Google Scholar 

  13. Easyway project: “A1 TIS – DG 01: Traveler information services, summary” (2010)

  14. White Paper: “Roadmap to a Single European Transport Area – Towards a competitive and resource efficient transport system”, COM/2011/0144 final (2011)

  15. van Delft, A., Nijkamp, P.: Multi-Criteria Analysis and Regional Decision-Making, Springer, pp. 19–41. (1977)

  16. Department for Communities and Local Government Multi-criteria analysis: a manual, Crown, ISBN: 978-1-4098-1023-0, pp. 19–24. (2009)

  17. Stuart, T.J.: “A critical survey on the status of multiple criteria decision making theory and practice”. Omega 20(5-6), 569–586 (1992)

    Article  Google Scholar 

  18. Miksztai, P., Szele, A.: “Processing and evaluation some elements of the National Traffic Data Survey in 2007-2008”, KTI yearbook, Budapest, pp. 160–167. (2008) in Hungarian

  19. Lykourgos, T.L., Vlahogianni, I.E., Karlaftis, G.M.: “Does information on weather affect the performance of short-term traffic forecasting models?”. Int. J. Intell. Transp. Syst. Res. 10(1), 1–10 (2012)

    Google Scholar 

  20. Li, J.-Q., Zhou, K., Zhang, L., Zhang, W.-B.: “A multimodal trip planning system with real-time traffic and transit information”. J. Intell. Transp. Syst.: Technol. Plan. Oper. 16(2), 60–69 (2012)

    Article  Google Scholar 

  21. Hrncir, J., Michal, J.: “Generalised Time-Dependent Graphs for Fully Multimodal Journey Planning”, IEEE Intelligent Transportation Systems Conference (ITSC), pp. 2138–2145. (2013)

  22. Ando, R., Mimura, Y.: “Study to develop an information providing system on travel time”. Int. J. Intell. Transp. Syst. Res. 8(2), 77–84 (2010)

    Google Scholar 

  23. Adoko K.H.C., Pel A.J., Hoogendoorn R.G., van Arem B.: “Modelling effects of social navigation on road traffic: The influence of penetration rates, altruism, and compliance”, 8th TRISTAN, San Pedro de Atacama, Chile, pp. 1–4. (2013)

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Correspondence to Domokos Esztergár-Kiss or Csaba Csiszár.

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Esztergár-Kiss, D., Csiszár, C. Evaluation of Multimodal Journey Planners and Definition of Service Levels. Int. J. ITS Res. 13, 154–165 (2015). https://doi.org/10.1007/s13177-014-0093-0

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  • DOI: https://doi.org/10.1007/s13177-014-0093-0

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