Overview of taxi database from viewpoint of usability for traffic model development: A case study for Budapest

Arpad Varga, Gyorgy Eigner, L. Kovács, Imre Felde, Miklos Mezei

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Forecasting and analyzing urban car traffic is an actual but still very complex problem. The modern car fleet handling IT systems designed for taxi and delivery service companies allows GPS coordinate data acquisition from large amount of vehicles for optimizing the ride and freight allocation. Since the database of these companies contains movement patterns belonging to multitude of vehicles, arise the question if these data, belonging to vehicles with special purpose, is suitable for representing the whole car traffic. To make the first step to answer this question, our case study utilizes the time-resolved GPS coordinate database of one of the largest taxi company in Budapest from year 2014.

Original languageEnglish
Title of host publicationSISY 2017 - IEEE 15th International Symposium on Intelligent Systems and Informatics, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages105-110
Number of pages6
ISBN (Electronic)9781538638552
DOIs
Publication statusPublished - Oct 23 2017
Event15th IEEE International Symposium on Intelligent Systems and Informatics, SISY 2017 - Subotica, Serbia
Duration: Sep 14 2017Sep 16 2017

Other

Other15th IEEE International Symposium on Intelligent Systems and Informatics, SISY 2017
CountrySerbia
CitySubotica
Period9/14/179/16/17

    Fingerprint

Keywords

  • Data mining
  • Data visualization
  • Taxi cab database
  • Urban traffic modeling

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Information Systems
  • Information Systems and Management

Cite this

Varga, A., Eigner, G., Kovács, L., Felde, I., & Mezei, M. (2017). Overview of taxi database from viewpoint of usability for traffic model development: A case study for Budapest. In SISY 2017 - IEEE 15th International Symposium on Intelligent Systems and Informatics, Proceedings (pp. 105-110). [8080534] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SISY.2017.8080534