[
330ohms (2021). Bluetooth, clases y versiones desde v1.0 hasta v5.0., https://blog.330ohms.com/2017/02/02/bluetooth-clases-y-versiones-desde-v1-0-hasta-v5-0/.
]Search in Google Scholar
[
Alnahari, A.Y., Ahmad, N.A. and Yusof, Y. (2017). Wireless sensor network based outdoor and indoor positioning system (WOIPS) featured with IoT, Proceedings of the International Conference on Imaging, Signal Processing and Communication, New York, USA, pp. 153–157.
]Search in Google Scholar
[
Bahl, P. and Padmanabhan, V.N. (2000). RADAR: An in-building RF-based user location and tracking system, INFOCOM, Tel Aviv, Israel, pp. 775–784.
]Search in Google Scholar
[
Barbeau, S.J., Borning, A. and Watkins, K. (2014). One-bus-away multi-region—Rapidly expanding mobile transit APPS to new cities, Journal of Public Transportation 17(4): 3.10.5038/2375-0901.17.4.2
]Search in Google Scholar
[
Bluetooth (2021). Proximity and RSSI, http://blog.bluetooth.com/proximity-and-rssi.
]Search in Google Scholar
[
Boneh, D., Lynn, B. and Shacham, H. (2001). Short signatures from the Weil pairing, in C. Boyd (Ed.), Advances in Cryptology—ASIACRYPT 2001, Springer, Berlin/Heidelberg, pp. 514–532.10.1007/3-540-45682-1_30
]Search in Google Scholar
[
Cao, S., Shao, H. and Shao, F. (2022). Sensor location for travel time estimation based on the user equilibrium principle: Application of linear equations, International Journal of Applied Mathematics and Computer Science 32(1): 23–33, DOI: 10.34768/amcs-2022-0003.
]Open DOISearch in Google Scholar
[
Castillo-Cara, M., Huaranga-Junco, E., Mondragón-Ruiz, G., Salazar, A., Orozco-Barbosa, L. and Antúnez, E.A. (2016). RAY: Smart indoor/outdoor routes for the blind using Bluetooth 4.0 BLE, in E.M. Shakshuki (Ed.), 7th International Conference on Ambient Systems, Networks and Technologies (ANT 2016)/6th International Conference on Sustainable Energy Information Technology (SEIT-2016)/Affiliated Workshops, Elsevier, Amsterdam, pp. 690–694.10.1016/j.procs.2016.04.153
]Search in Google Scholar
[
Cheng, R.-S., Hong, W.-J., Wang, J.-S. and Lin, K.W. (2016). Seamless guidance system combining GPS, BLE beacon, and NFC technologies, Mobile Information Systems 2016, DOI: 10.1155/2016/5032365.10.1155/2016/5032365
]Search in Google Scholar
[
Christmann, S., Caus, T. and Hagenhoff, S. (2008). Personalized public-transport guidance using mobile end devices, Towards Sustainable Society on Ubiquitous Networks, pp. 185–195.
]Search in Google Scholar
[
Cristóbal, T., Padrón, G., Quesada-Arencibia, A., Alayón, F. and García, C.R. (2018). Systematic approach to analyze travel time in road-based mass transit systems based on data mining, IEEE Access 6: 32861–32873, DOI: 10.1109/ACCESS.2018.2837498.
]Open DOISearch in Google Scholar
[
Czogalla, O. and Naumann, S. (2015). Pedestrian guidance for public transport users in indoor stations using smartphones, IEEE International Conference on Intelligent Transportation Systems, Canary Islands, Spain, pp. 2539–2544.
]Search in Google Scholar
[
Czurak, P., Maj, C., Szermer, M. and Zabierowski, W. (2018). Impact of Bluetooth low energy on energy consumption in Android OS, 2018 14th International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH), Lviv, Ukraine, pp. 255–258.
]Search in Google Scholar
[
DAMADICS (2021). Website of world population, https://www.worldometers.info/.
]Search in Google Scholar
[
Dasgupta, A., Nagaraj, R. and Nagamani, K. (2016). An internet of things platform with Google Eddystone beacons, Journal of Software Engineering and Applications 9(06): 291.10.4236/jsea.2016.96020
]Search in Google Scholar
[
de Blasio, G., Quesada-Arencibia, A., García, C.R., Molina-Gil, J.M. and Caballero-Gil, C. (2017a). Study of dynamic factors in indoor positioning for harsh environments, in S.F. Ochoa et al. (Eds), Ubiquitous Computing and Ambient Intelligence, Springer International Publishing, Cham, pp. 67–78.10.1007/978-3-319-67585-5_8
]Search in Google Scholar
[
de Blasio, G., Quesada-Arencibia, A., García, C.R., Molina-Gil, J.M. and Caballero-Gil, C. (2017b). Study on an indoor positioning system for harsh environments based on Wi-Fi and Bluetooth Low Energy, Sensors 17(6): 1299, DOI: 10.3390/s17061299.549234828587285
]Open DOISearch in Google Scholar
[
de Blasio, G., Quesada-Arencibia, A., García, C.R., Rodríguez-Rodríguez, J.C. and Moreno-Díaz, R. (2018). A protocol-channel-based indoor positioning performance study for Bluetooth Low Energy, IEEE Access 6: 33440–33450, DOI: 10.1109/ACCESS.2018.2837497.
]Open DOISearch in Google Scholar
[
de Blasio, G., Quesada-Arencibia, A., García-Rodríguez, C.R., Molina-Gil, J.M. and Caballero-Gil, C. (2016). Ubiquitous signaling system for public road transport network, in C. García et al. (Eds), Ubiquitous Computing and Ambient Intelligence. IWAAL AmIHEALTH UCAmI 2016, Lecture Notes in Computer Science, Vol. 10070, Springer, Berlin/Heidelberg, pp. 445–457, DOI: 10.1007/978-3-319-48799-149.
]Open DOISearch in Google Scholar
[
Dell’Acqua, G. and Wegman, F. (2017). Transport Infrastructure and Systems: Proceedings of the AIIT International Congress on Transport Infrastructure and Systems, Rome, Italy, p. 1154.
]Search in Google Scholar
[
DeviceAtlas (2018). Android vs iOS market share, https://deviceatlas.com/blog/android-v-ios-market-share.
]Search in Google Scholar
[
Dridi, M. and Kacem, I. (2004). A hybrid approach for scheduling transportation networks, International Journal of Applied Mathematics and Computer Science 14(3): 397–409.
]Search in Google Scholar
[
Faragher, R. and Harle, R. (2015). Location fingerprinting with Bluetooth Low Energy beacons, IEEE Journal on Selected Areas in Communications 33(11): 2418–2428.10.1109/JSAC.2015.2430281
]Search in Google Scholar
[
Ferreira, M.C., Dias, T.G. and Falcão e Cunha, J. (2022). ANDA: An innovative micro-location mobile ticketing solution based on NFC and BLE technologies, IEEE Transactions on Intelligent Transportation Systems 23(7): 6316–6325, DOI: 10.1109/TITS.2021.3072083TITS.2021.3072083.
]Open DOISearch in Google Scholar
[
Ferreira, M.C., Fontesz, T., Costa, V., Dias, T.G., Borges, J.L. and e Cunha, J.F. (2017). Evaluation of an integrated mobile payment, route planner and social network solution for public transport, Transportation Research Procedia 24(2017): 189–196.10.1016/j.trpro.2017.05.107
]Search in Google Scholar
[
Foell, S., Kortuem, G., Rawassizadeh, R., Handte, M., Iqbal, U. and Marron, P. (2014). Micro-navigation for urban bus passengers: Using the Internet of things to improve the public transport experience, Proceedings of the 1st International Conference on IoT in Urban Space, Rome, Italy, pp. 1–6.
]Search in Google Scholar
[
Gurmu, Z.K. and Fan, W.D. (2014). Artificial neural network travel time prediction model for buses using only GPS data, Journal of Public Transportation 17(2): 3.10.5038/2375-0901.17.2.3
]Search in Google Scholar
[
Handte, M., Foell, S., Wagner, S., Kortuem, G. and Marron, P.J. (2016). An Internet-of-things enabled connected navigation system for urban bus riders, IEEE Internet of Things Journal 3(5): 735–744.10.1109/JIOT.2016.2554146
]Search in Google Scholar
[
Hoare, C.A. (1962). Quicksort, The Computer Journal 5(1): 10–16.10.1093/comjnl/5.1.10
]Search in Google Scholar
[
Huang, C.-H., Lee, L.-H., Ho, C.C., Wu, L.-L. and Lai, Z.-H. (2015). Real-time RFID indoor positioning system based on Kalman-filter DRIFT removal and heron-bilateration location estimation, IEEE Transactions on Instrumentation and Measurement 64(3): 728–739.10.1109/TIM.2014.2347691
]Search in Google Scholar
[
Jafri, R. and Khan, M.M. (2018). User-centered design of a depth data based obstacle detection and avoidance system for the visually impaired, Human-centric Computing and Information Sciences 8(1): 14.10.1186/s13673-018-0134-9
]Search in Google Scholar
[
Kaemarungsi, K. and Krishnamurthy, P. (2004). Properties of indoor received signal strength for WLAN location fingerprinting, 1st Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services, MOBIQUITOUS 2004, Boston, USA, pp. 14–23.
]Search in Google Scholar
[
Kjærgaard, M.B. (2011). Indoor location fingerprinting with heterogeneous clients, Pervasive and Mobile Computing 7(1): 31–43.10.1016/j.pmcj.2010.04.005
]Search in Google Scholar
[
Lee, J.K., Jeong, Y.S. and Park, J.H. (2015). S-ITSF: A service based intelligent transportation system framework for smart accident management, Human-centric Computing and Information Sciences 5(1): 34.10.1186/s13673-015-0054-x
]Search in Google Scholar
[
Lin, X.-Y., Ho, T.-W., Fang, C.-C., Yen, Z.-S., Yang, B.-J. and Lai, F. (2015). A mobile indoor positioning system based on iBeacon technology, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Milan, Italy, pp. 4970–4973, DOI: 10.1109/EMBC.2015.7319507.26737407
]Open DOISearch in Google Scholar
[
Luo, H., Li, Y., Wang, J., Weng, D., Ye, J., Hsu, L.-T. and Chen, W. (2021). Integration of GNSS and BLE technology with inertial sensors for real-time positioning in urban environments, IEEE Access 9(2021): 15744–15763.10.1109/ACCESS.2021.3052733
]Search in Google Scholar
[
Mackey, A. and spachos, p. (2019). experimental comparison of energy consumption and proximity accuracy of BLE beacons, 2019 IEEE Global Communications Conference (GLOBECOM), Waikoloa, USA, pp. 1–6.
]Search in Google Scholar
[
Mahyuddin, M., Isa, A., Zin, M., AH, A.M., Manap, Z. and Ismail, M. (2017). Overview of positioning techniques for LTE technology, Journal of Telecommunication, Electronic and Computer Engineering 9(2–13): 43–50.
]Search in Google Scholar
[
Moorthi, P., Singh, A.P. and Agnivesh, P. (2018). Regulation of water resources systems using fuzzy logic: A case study of Amaravathi dam, Applied Water Science 8(5): 132.10.1007/s13201-018-0777-8
]Search in Google Scholar
[
nRF5340 (2022). nrf5340 Product Specification v1.2., Nordic Semiconductor Infocenter, Trondheim, https://infocenter.nordicsemi.com/pdf/nRF5340_PS_v1.2.pdf.
]Search in Google Scholar
[
Orujov, F., Maskeliūnas, R., Damaševičius, R., Wei, W. and Li, Y. (2018). Smartphone based intelligent indoor positioning using fuzzy logic, Future Generation Computer Systems 89: 335–348, DOI: 10.1016/j.future.2018.06.030.
]Open DOISearch in Google Scholar
[
Pätzold, J., Schiewe, A. and Schöbel, A. (2018). Cost-minimal public transport planning, in R. Borndörfer and S. Storandt (Eds), 18th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems, OASIcs—OpenAccess Series in Informatics, Vol. 65, Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik, Dagstuhl.
]Search in Google Scholar
[
Pu, Y.-C. and You, P.-C. (2018). Indoor positioning system based on BLE location fingerprinting with classification approach, Applied Mathematical Modelling 62: 654–663, DOI: 10.1016/j.apm.2018.06.031.
]Open DOISearch in Google Scholar
[
Rathod, R. and Khot, S. (2016). Smart assistance for public transport system, International Conference on Inventive Computation Technologies (ICICT), Bhubaneswar, India, Vol. 3, pp. 1–5.
]Search in Google Scholar
[
Rida, M.E., Liu, F., Jadi, Y., Algawhari, A.A.A. and Askourih, A. (2015). Indoor location position based on Bluetooth signal strength, 2015 2nd International Conference on Information Science and Control Engineering, Shanghai, China, pp. 769–773.
]Search in Google Scholar
[
Schott, D., Höflinger, F., Zhang, R., Reindl, L.M. and Yang, H. (2017). Fuzzy inference system assisted inertial localization system, 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC), Madeira Island, Portugal, pp. 89–93.
]Search in Google Scholar
[
Şen, Z. (2017). Intelligent business decision-making research with innovative fuzzy logic system, International Journal of Research, Innovation and Commercialisation 1(1): 93–111.10.1504/IJRIC.2017.082300
]Search in Google Scholar
[
Stelzer, A., Englert, F., Hörold, S. and Mayas, C. (2016). Improving service quality in public transportation systems using automated customer feedback, Transportation Research E: Logistics and Transportation Review 89(2016): 259–271.10.1016/j.tre.2015.05.010
]Search in Google Scholar
[
StreetsblogUSA (2021). Eleven simple ways to speed up your city’s buses, https://usa.streetsblog.org/2014/04/18/11-simple-ways-to-speed-up-your-citys-buses/.
]Search in Google Scholar
[
Techspirited (2021). Wi-Fi Direct vs Bluetooth 4.0, https://techspirited.com/wi-fi-direct-vs-bluetooth40.
]Search in Google Scholar
[
United Nations (2019). World Population Prospects: The 2012 Revision (2013), Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat, New York, https://population.un.org/wpp/.
]Search in Google Scholar
[
World, R.W. (2021). Bluetooth vs BLE—Difference between Bluetooth and BLE, http://www.rfwireless-world.com/Terminology/Bluetooth-vs-BLE.html.
]Search in Google Scholar
[
Yang, C. and Shao, H.-R. (2015). WiFi-based indoor positioning, IEEE Communications Magazine 53(3): 150–157.10.1109/MCOM.2015.7060497
]Search in Google Scholar
[
Zadeh, L.A. (1988). Fuzzy logic, Computer 21(4): 83–93.10.1109/2.53
]Search in Google Scholar
[
Zhang, L., Gupta, S.D., Li, J.-Q., Zhou, K. and Zhang, W.-B. (2011). Path2go: Context-aware services for mobile real-time multimodal traveler information, 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), Washington DC, USA, pp. 174–179.
]Search in Google Scholar
[
Zhu, J., Luo, H., Chen, Z. and Li, Z. (2014). RSSI based Bluetooth Low Energy indoor positioning, International Conference on Indoor Positioning and Indoor Navigation, Busan, South Korea, pp. 526–533.
]Search in Google Scholar
