Passengers in public transport expect passenger information to be exact, timely and appropriate to their situation. Therefore, future passenger information systems should adapt to the passenger’s context as precisely as possible. In this paper, we present a context model and describe our architecture for an adaptive, multi-device passenger information system. We will also present adaptation scenarios that show the application of our context model.
CITATION STYLE
Keller, C., Titov, W., & Schlegel, T. (2020). A passenger context model for adaptive passenger information in public transport. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12213 LNCS, pp. 238–248). Springer. https://doi.org/10.1007/978-3-030-50537-0_18
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