Mobile application to manage public transport routes
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smart city, vehicular mobility, wireless sensor network, global positioning system, smart technologies
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.
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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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. DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/10.1007/978-3-030-11890-7_42
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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/10.22463/0122820X.1335
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.
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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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. DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/10.1007/978-3-030-11890-7_42
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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/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 DOI: https://doi.org/10.22463/0122820X.1335