How to predict journey destination for supporting contextual intelligent information services?

• Type: Article in International Conference Proceedings Book
• Date: 2015

Authors

Costa, V. (Author) FEUP; Costa, PM (Author) Other; Teresa Galvão Dias (Author) FEUP

Conference proceedings International

Title: 2015 IEEE 18th International Conference on Intelligent Transportation Systems

Pages: 2959-2964

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 2 Citations

Other information

Authenticus ID: P-00K-164

DOI: 10.1109/itsc.2015.474

Abstract (EN): The adoption of smart cards in urban public transport has fundamentally changed how transport providers manage and plan their networks. Traveller information services, in particular, have leveraged this contextual data for targeting passengers and providing relevant information. Thus, it becomes increasingly relevant for the next generation of services to obtain on-time contextual passenger information, to support the development of intelligent information services. In this paper an adaptation of the Top-K algorithm is proposed for predicting journey destination, applied to different scenarios in public transport. The performance and efficiency are analysed and compared to a decision tree classifier. Finally, the feasibility and potential of applying the proposed methods to large-scale systems in a real-world environment is discussed.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6