Mapping of the Transportation System of the City of Aguascalientes Using GTFS Data for the Generation of Intelligent Transportation Based on the Smart Cities Paradigm

  • Raul Alejandro Velasquez OrtizEmail author
  • Francisco Javier Álvarez Rodríguez
  • Miguel Vargas Martin
  • Julio Cesar Ponce Gallegos
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1066)


Some city services across the world have been able to make use of technology for a more seamless delivery and massive use. As cities grow in population and complexity, new problems and challenges emerge. In particular, the growth of the city of Aguascalientes has seen an increasing demand for more and better city services over time, complicating the way in which public transportation services are provided, not only in the city but in the metropolitan area as surrounding municipalities become practically part of it. Public transportation does not have accurate and updated information that allows for technology to help in the efficient delivery of the service, causing a number of problems such as the inability to pinpointing the location of busses at any given time, resulting in challenges to providing a better service for users. This paper is a first attempt at solving the problem through the means of the GTFS (General Transit Feed Specification) format defined in [1]. We believe that our paper can help the development of software solutions by means of e.g., smartphone apps that can help the city offer better public transportation using a Smart City paradigm [2].


GTFS GTFS-RT Smart mobility Mapping Smart city 



We thank anonymous reviewers for their useful feedback, as well as CONACYT and the Universidad Autónoma de Aguascalientes for funding this research. The first author was a visiting scholar at Ontario Tech University during most of the elaboration of this paper. We thank the Coordinación General de Movilidad de Aguascalientes (CMOV) for sharing information about the city’s transportation system.


  1. 1.
    Zhang, T., Chen, M., Lawson, C.: General transit feed specification data visualization. In: 2014 22nd International Conference on Geoinformatics, 25–27 June 2014, pp. 1–6 (2014).
  2. 2.
    Strasser, M., Albayrak, S.: A pattern based feasibility study of cloud computing for smart mobility solutions. In: 2016 8th International Workshop on Resilient Networks Design and Modeling (RNDM), 13–15 September 2016, pp. 295–301 (2016).
  3. 3.
    Krambeck, H.: Introduction to the General Transit Feed Specification (GTFS) and Informal Transit System Mapping (Self-Paced). World Bank Group (2019). Accessed 27 Dec 2018
  4. 4.
    Friedrich, M., Leurent, F., Jackiva, I., Fini, V., Raveau, S.: From transit systems to models: purpose of modelling. In: Gentile, G., Noekel, K. (eds.) Modelling Public Transport Passenger Flows in the Era of Intelligent Transport Systems: COST Action TU1004 (TransITS), pp. 131–234. Springer, Cham (2016)CrossRefGoogle Scholar
  5. 5.
    OpenMobilityData: OpenMobilityData (2019). Accessed 24 Mar 2019
  6. 6.
    Faria, R., Brito, L., Baras, K., Silva, J.: Smart mobility: a survey. In: 2017 International Conference on Internet of Things for the Global Community (IoTGC), 10–13 July 2017, pp. 1–8 (2017)Google Scholar
  7. 7.
    Braga, M., Santos, M.Y., Moreira, A.: Integrating public transportation data: creation and editing of GTFS data. In: Rocha, Á., Correia, A., Tan, F., Stroetmann, K. (eds.) New Perspectives in Information Systems and Technologies, Volume 2, pp. 53–62. Springer, Cham (2014)CrossRefGoogle Scholar
  8. 8.
    Girish, M.: Better bus implementing bus tracking app with GTFS data. In: Mai-yah, G. (ed.) p. 137 (2019).
  9. 9.
    Google: Programa de partners de Google Transit (2016).
  10. 10.
    Ferris, B., Watkins, K., Borning, A.: OneBusAway: results from providing real-time arrival information for public transit. Paper presented at the Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Atlanta, Georgia, USA (2010)Google Scholar
  11. 11.
    OneBusAway: The Open Source Platform for Real Time Transit Info (2010).
  12. 12.
    Téllez, R.: A Case from Mexico City: Laboratorio para la Ciudad’s Mapatón CDMX (2016).

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Raul Alejandro Velasquez Ortiz
    • 1
    Email author
  • Francisco Javier Álvarez Rodríguez
    • 1
  • Miguel Vargas Martin
    • 2
  • Julio Cesar Ponce Gallegos
    • 1
  1. 1.Departamento de Ciencias de la ComputaciónUniversidad Autónoma de AguascalientesAguascalientesMexico
  2. 2.Ontario Tech UniversityOshawaCanada

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