Prediction of Journey Destination for Travelers of Urban Public Transport: A Comparison Model Study

• Type: Article in International Conference Proceedings Book
• Date: 2019

Authors

Vera Costa (Author) FEUP; Tânia Fontes (Author) Other; José Luís Moura Borges (Author) FEUP; Teresa Galvão Dias (Author) FEUP

Conference proceedings International

Title: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

Pages: 113-132

2nd EAI International Conference on Intelligent Transport Systems, INTSYS 2018

21 November 2018 through 23 November 2018

Indexing

Scopus - 0 Citations

Other information

Authenticus ID: P-00Q-7W1

DOI: 10.1007/978-3-030-14757-0_9

Abstract (EN): In public transport, smart card-based ticketing system allows to redesign the UPT network, by providing customized transport services, or incentivize travelers to change specific patterns. However, in open systems, to develop personalized connections the journey destination must be known before the end of the travel. Thus, to obtain that knowledge, in this study three models (Top-K, NB, and J48) were applied using different groups of travelers of an urban public transport network located in a medium-sized European metropolitan area (Porto, Portugal). Typical travelers were selected from the segmentation of transportation card signatures, and groups were defined based on the traveler age or economic conditions. The results show that is possible to predict the journey¿s destination based on the past with an accuracy rate that varies, on average, from 20% in the worst scenarios to 65% in the best. © 2019, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 20