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.
The presented results are part of the research carried out within the projects funded by grants # 14-07-00345, # 15-07-08092, # 15-07-08391, # 16-07-00462 of the Russian Foundation for Basic Research, and programs # I.5 and # III.3 of the Russian Academy of Sciences. The work has been partially financially supported by Government of Russian Federation, Grant 074-U01.
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Smirnov, A., Teslya, N., Shilov, N., Kashevnik, A. (2016). Context-Based Trip Planning in Infomobility System for Public Transport. In: Abraham, A., Kovalev, S., Tarassov, V., Snášel, V. (eds) Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16). Advances in Intelligent Systems and Computing, vol 450. Springer, Cham. https://doi.org/10.1007/978-3-319-33609-1_33
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DOI: https://doi.org/10.1007/978-3-319-33609-1_33
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