Mobile application to manage public transport routes
DOI:
https://doi.org/10.61799/2216-0388.791Keywords:
smart city, vehicular mobility, wireless sensor network, global positioning system, smart technologiesAbstract
Smart mobile apps are software applications designed to work with phones, tablets, and other mobile electronic devices. They are very vital to our society today, including communication, education, business, entertainment, medicine, finance, travel, utilities, social services, and transportation. In the latter category, opportunities have been revealed that include route planning, car pooling and ride sharing, road safety, parking information, transportation data collection, emissions, fuel consumption, and travel information. The mobile application development aims to provide information to the user of each minibus based on their preferred route. It is articulated with a smart bus prototype, which has a network of sensors and a global positioning system (GPS). The information about the sensors and positioning are centralized through an Arduino, in which the process allows the users to know the number of available positions, location, and calculation of the distance between the user and microbus, based on the geo reference; reference points, are loaded between the bus and the user's mobile device. This contributes to the management of public transport routes in a specific population, obtaining vital information by connecting the different applications that people use in their daily lives, considering main variables such as speed, time and distance traveled on a given route.
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Z. Allam and Z. A. Dhunny, “On big data, artificial intelligence and smart cities,” Cities, vol. 89, no. January, pp. 80–91, 2019, doi: 10.1016/j.cities.2019.01.032
S. R. Nalawade and S. Devrukhkar Akshay, "Bus tracking by computing cell tower information on Raspberry Pi," 2017, DOI: 10.1109/ICGTSPICC.2016.7955275
S. H. An, B. H. Lee, and D. R. Shin, "A survey of intelligent transportation systems," 2011, DOI: 10.1109/CICSyN.2011.76
E. Tramontana and G. Verga, "Demo: Get spatio-temporal flows from GPS data," 2018, DOI: 10.1109/SMARTCOMP.2018.00058
J. C. Nobre et al., “Vehicular Software-Defined Networking and fog computing: Integration and design principles,” Ad Hoc Networks, vol. 82, pp. 172–181, 2019, doi: 10.1016/j.adhoc.2018.07.016
X. Yang and L. Zhang, "A dynamic method to monitor public transport based on smart card and GPS Data," 2014, DOI: 10.1109/ITSC.2014.6957807
S. Šurdonja, T. Giuffrè, and A. Deluka-Tibljaš, "Smart mobility solutions-necessary precondition for a well-functioning smart city," 2020, DOI: 10.1016/j.trpro.2020.03.051
Z. Wei, Y. Song, H. Liu, Y. Sheng, and X. Wang, "The research and implementation of GPS intelligent transmission strategy based on on-board Android smartphones," 2014, DOI: 10.1109/ICCSNT.2013.6967324.
W. Loga-Księska, J. Sordyl, and A. Ryguła, “Long-term urban traffic monitoring based on wireless multi-sensor network,” Open Eng., 2020, DOI: 10.1515/eng-2020-0018
A. J. Kadam, V. Patil, K. Kaith, D. Patil, and Sham, "Developing a Smart Bus for Smart City using IOT Technology," 2018, DOI: 10.1109/ICECA.2018.8474819
H.-X. Hu, B. Tang, Y. Zhang, and W. Wang, “Vehicular Ad Hoc Network Representation Learning for Recommendations in Internet of Things,” IEEE Trans. Ind. Informatics, vol. 16, no. 4, pp. 2583–2591, Apr. 2020, DOI: 10.1109/TII.2019.2929108
T. Tang, R. Liu, and C. Choudhury, “Incorporating weather conditions and travel history in estimating the alighting bus stops from smart card data,” Sustain. Cities Soc., 2020, DOI: 10.1016/j.scs.2019.101927
D. H. Mrityunjaya, N. Kumar, Laxmikant, S. Ali, and H. M. Kelagadi, "Smart transportation," 2017, DOI: 10.1109/I-SMAC.2017.8058235
A. K. Debnath, H. C. Chin, M. M. Haque, and B. Yuen, “A methodological framework for benchmarking smart transport cities,” Cities, 2014, DOI: 10.1016/j.cities.2013.11.004
R. Salazar-Cabrera and A. Pachon, “Methodology for Design of an Intelligent Transport System (ITS) Architecture for Intermediate Colombian City,” Ing. Y Compet., vol. 21, no. 1, Mar. 2019, DOI: 10.25100/iyc.v21i1.7654
K. Y. Diaz Pedroza, B. Y. Chindoy Chasoy, and A. A. Rosado Gómez, “Review of techniques, tools, algorithms and attributes for data mining used in student desertion,” J. Phys. Conf. Ser., vol. 1409, p. 012003, Nov. 2019, DOI: 10.1088/1742-6596/1409/1/012003
V. Kumar, G. Sakya, and C. Shankar, “WSN and IoT based smart city model using the MQTT protocol,” J. Discret. Math. Sci. Cryptogr., 2019, DOI: 10.1080/09720529.2019.1692449
R. Aquino Santos, A. González Potes, L. A. Villaseñor Gonzalez, A. Crespo, J. Sanchez, and J. R. Gallardo, “Simulación de Algoritmos para regular el Flujo Vehicular y la Comunicación entre Vehículos Móviles Autónomos utilizando Redes Ad Hoc,” Rev. Iberoam. Automática e Informática Ind. RIAI, 2009, doi: 10.1016/s1697-7912(09)70078-0
C. D. Guerrero and D. Rico-Bautista, “Center for Excellence and Internet Acquisition of Things: A commitment to competitiveness from alliances between government, academia and productive sector,” RISTI - Rev. Iber. Sist. e Tecnol. Inf., vol. 2020, no. E28, pp. 615–628, 2020
P. Andersson and L.-G. Mattsson, “Service innovations enabled by the ‘internet of things,’” IMP J., 2015, DOI: 10.1108/imp-01-2015-0002
J. A. Parra Valencia, C. D. Guerrero, and D. Rico-Bautista, “IOT: una aproximación desde ciudad inteligente a universidad inteligente,” Rev. Ingenio, vol. 13, no. 1, pp. 9–20, Jun. 2017, doi: 10.22463/2011642X.2128
D. Rico-Bautista, Y. Medina-Cárdenas, and C. D. Guerrero, “Smart University: A Review from the Educational and Technological View of Internet of Things,” in International Conference on Information Technology and Systems, ICITS 2019, vol. 918, P. M., F. C., and R. A., Eds. Systems and Informatics Department, Universidad Francisco de Paula Santander Ocaña, Algodonal Campus Vía Acolsure, Ocaña, 546551, Colombia: Springer Verlag, 2019, pp. 427–440
M. Gheisari, G. Wang, W. Z. Khan, and C. Fernández-Campusano, “A context-aware privacy-preserving method for IoT-based smart city using Software Defined Networking,” Comput. Secur., vol. 87, p. 101470, 2019, doi: 10.1016/j.cose.2019.02.006
P. Del Vecchio, G. Secundo, Y. Maruccia, and G. Passiante, “A system dynamic approach for the smart mobility of people: Implications in the age of big data,” Technol. Forecast. Soc. Change, vol. 149, no. October, p. 119771, 2019, doi: 10.1016/j.techfore.2019.119771
D. Rico-Bautista et al., “Smart university: Key factors for the adoption of internet of things and big data,” RISTI - Rev. Iber. Sist. e Tecnol. Inf., vol. 201, no. 41, pp. 63–79, 2021, DOI: 10.17013/risti.41.63–79
Y. C. Wu, Y. J. Wu, and S. M. Wu, An outlook of a future smart city in taiwan from post-internet of things to artificial intelligence internet of things. Elsevier Inc., 2019
M. Ghobakhloo and N. T. Ching, “Adoption of digital technologies of smart manufacturing in SMEs,” J. Ind. Inf. Integr., vol. 16, p. 100107, 2019, doi: 10.1016/j.jii.2019.100107
H. Askari, A. Khajepour, M. B. Khamesee, and Z. L. Wang, “Embedded self-powered sensing systems for smart vehicles and intelligent transportation,” Nano Energy, vol. 66, p. 104103, 2019, doi: 10.1016/j.nanoen.2019.104103
D. Rico-Bautista, E. Barrientos-Avendaño, F. R. Cuesta-Quintero, L. A. Coronel-Rojas, J. Trillos-Arenas, and D. Hernadez-Villamizar, “Mobile application for the optimization of milk production and goat feeding processes: Experimental farm of Universidad Francisco de Paula Santander, Ocaña, Colombia,” J. Phys. Conf. Ser., vol. 1388, p. 012028, Nov. 2019, doi: 10.1088/1742-6596/1388/1/012028
L. A. Coronel-Rojas, D. Rico-Bautista, F. Cuesta-Quintero, E. A. P. Villadiego, and E. Barrientos-Avendaño, “Software móvil para reconocimiento, seguimiento y control de las plantas del vivero inteligente de la Universidad Francisco de Paula Santander Ocaña,” Rev. Colomb. Tecnol. Av., vol. Volumen 1, no. 33, 2019, doi: 10.24054/16927257.v33.n33.2019.3329
D. Rodríguez Ibarra and M. Bobrek Fernández, “Aplicación móvil apoyada en georeferenciación que permita optimizar el uso del transporte público en la ciudad de cúcuta (STOPBUS),” Mundo Fesc, vol. 0, no. 11, pp. 48–55, 2016
K. Y. Sánchez Mojica , J. E. Herera Rubio, M. Martínez Parada y L. A. Pérez Dominguez, Aplicación móvil como estrategia para la comercialización de productos agropecuarios", Respuestas, vol. 23, nº 1, pp. 52-59, 2018
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