Abstract
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].
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Acknowledgements
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.
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Velasquez Ortiz, R.A., Álvarez Rodríguez, F.J., Vargas Martin, M., Ponce Gallegos, J.C. (2020). 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. In: Botto-Tobar, M., León-Acurio, J., Díaz Cadena, A., Montiel Díaz, P. (eds) Advances in Emerging Trends and Technologies. ICAETT 2019. Advances in Intelligent Systems and Computing, vol 1066. Springer, Cham. https://doi.org/10.1007/978-3-030-32022-5_17
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