Abstract
The objective of this document is to present the analysis of the level of vehicular congestion that occurs in the surrounding sectors, the downtown neighborhood, specifically on Alfonso López Avenue, to analyze and propose, what is the best solution, and thus improving the mobility of the road network, and minimizing congestion in the present and the future. The results of the analysis of the measurement of the speeds that were obtained taking the different modes of transportation: private, public: taxis and buses, and plate method, speeds were taken at peak and off-peak hours, in the morning and afternoon days, for 15 continuous days; through cycles that incorporate series of fluid and congested traffic or combined; taking into account the relationship variables between flow, velocity, density, interval, and spacing; Finally, the results were spatialized, to expand the crossovers of variables. The previous analysis seeks to contribute to the discussion about the impact of the different modes of transportation on traffic congestion and how to diagnose and propose solutions to improve mobility.
Villavicencio, Meta, Colombia. Supported by organization RUMBO-Red Universitaria Metropolitana de Bogotá.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Smart Cities y Acústica Sostenible. http://ww.editorialbonaventuriana.usb.edu.co. Accessed 16 June 21
Ochoa, N., et al.: Revista Facultad de Ingeniería Universidad de Antioquia 93, pp. 41–56 (2016)
Transforming our world: the 2030 Agenda for Sustainable Development. https://sdgs.un.org/2030agenda. Accessed 16 June 21
World Urbanization Prospects. https://population.un.org. Accessed 16 June 21
Benevolo, C., Dameri, R.P., D’Auria, B.: Smart Mobility in Smart City. Lecture Notes in Information Systems and Organisation 11 (2016)
Stolfi, D.H., Alba, E.: Sustainable Transportation and Smart Logistics: Decision-Making Models and Solutions: Sustainable Road Traffic Using Evolutionary Algorithms. Elsevier, Amsterdam (2018)
Sánchez-Vanegas, M.C., et al.: Towards the Construction of a Smart City Model in Bogotá. In: ICAI Workshops, pp. 176–193 (2020)
Miralles-Guasch, C.: City and transportation. the imperfect binomial. Ariel Geografía, Barcelona, p. 256 (2002)
MLA, HCM 2010: Highway Capacity Manual. Washington, D.C., Transportation Research Board (2010)
Merodio, G.G.G.: Geografía histórica y medio ambiente, Temas Selectos de Geografía de México. (I.1.9), Instituto de Geografía, UNAM, México, p. 111 (2012)
Pinzón, A., Mauricio, C., Parrado, H., Alejandro, Ó.: Estudio de intersección semaforizada entre calle 15 y carrera 45, tesis pregrado ing. civil Universidad Cooperativa (2018)
Wanumen, L., Moreno, J., Florez, H.: Mobile based approach for accident reporting. In: International Conference on Technology Trends, pp. 302–311 (2018)
Velosa, F., Florez, H.: Edge solution with machine learning and open data to interpret signs for people with visual disability. In: CEUR Workshop Proceedings, pp. 15–26 (2020)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Diaz Riveros, C.A., Beltran Rodriguez, K.A., Diaz, C.O., Baena Vasquez, A.J. (2021). Mobility in Smart Cities: Spatiality of the Travel Time Indicator According to Uses and Modes of Transportation. In: Florez, H., Pollo-Cattaneo, M.F. (eds) Applied Informatics. ICAI 2021. Communications in Computer and Information Science, vol 1455. Springer, Cham. https://doi.org/10.1007/978-3-030-89654-6_31
Download citation
DOI: https://doi.org/10.1007/978-3-030-89654-6_31
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-89653-9
Online ISBN: 978-3-030-89654-6
eBook Packages: Computer ScienceComputer Science (R0)