SIGTRANS: Geographical Information System for the analysis and management of public TRANSport

3 pages•Published: February 16, 2023

Pablo Gutiérrez-Asorey, Nieves R. Brisaboa and Tirso V. Rodeiro

Abstract

Our project is aimed at the creation of SIGTRANS, a tool focused on addressing the need of efficiently storing and analyzing the vast amount of data related to the use of public transport networks. This is a highly relevant research topic given the changes urban mobility is experiencing, including but not limited to those motivated by climate change. We will provide transport authorities and operators with a system, combining the use of GIS technologies, compact data structures and advanced algorithms, to facilitate the exploration and exploitation of the available data. This data refers to both the offer in terms of infrastructure and mobility services available for the citizens, and the demand (that is, the use citizens are expecting out of these services). The analysis of this data will then serve as the foundation for further improvements to public transport services.

Keyphrases: big data, compact data structures, etl, geographic information systems, public transportation networks

In: Alvaro Leitao and Lucía Ramos (editors). Proceedings of V XoveTIC Conference. XoveTIC 2022, vol 14, pages 7-9.

Links:	https://easychair.org/publications/paper/BKCh
	https://doi.org/10.29007/jgpw

BibTeX entry

@inproceedings{XoveTIC2022:SIGTRANS_Geographical_Information_System,
  author    = {Pablo Gutiérrez-Asorey and Nieves R. Brisaboa and Tirso V. Rodeiro},
  title     = {SIGTRANS: Geographical Information System for the analysis and management of public TRANSport},
  booktitle = {Proceedings of V XoveTIC Conference. XoveTIC 2022},
  editor    = {Alvaro Leitao and Lucía Ramos},
  series    = {Kalpa Publications in Computing},
  volume    = {14},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2515-1762},
  url       = {/publications/paper/BKCh},
  doi       = {10.29007/jgpw},
  pages     = {7-9},
  year      = {2023}}

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