Abstract
Mobility is a basic need for people, therefore the authorities in advanced societies pay special attention to systems and initiatives that improve or facilitate it. In this work, a ubiquitous signaling system for visually impaired people, using a combination of WiFi and Bluetooth Low Energy (BLE) technology with Smart Mobile Devices, is proposed. The system is conceived as a solution to help and support these users in places of public road transportation with travellers massive transit, such as bus stations, interchangers or preferred stops. In addition, once the user is positioned in the desired location, the system would offer advanced services: information on lines schedules, tickets sale, etc.
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Au, A.W.S., Feng, C., Valaee, S., Reyes, S., Sorour, S., Markowitz, S.N., Gold, D., Gordon, K., Eizenman, M.: Indoor tracking and navigation using received signal strength and compressive sensing on a mobile device. IEEE Trans. Mob. Comput. 12(10), 2050–2062 (2013)
Baniukevic, A., Jensen, C.S., Lu, H.: Hybrid indoor positioning with wi-fi and bluetooth: Architecture and performance. In: MDM, vol. 1, pp. 207–216. IEEE Computer Society (2013)
Baudoin, G., Venard, O.: Information, communication and localization environment for travelers with sensory disabilities in public transports. In: 2010 5th International ICST Conference on Communications and Networking in China (CHINACOM), pp. 1–7, August 2010
Bulusu, N., Estrin, D., Heidemann, J.S.: Adaptive beacon placement. In: ICDCS, pp. 489–498. IEEE Computer Society (2001)
Castillo-Cara, M., Huaranga-Junco, E., Mondragón-Ruiz, G., Salazar, A., Barbosa, L.O., Antúnez, E.A.: Ray: smart indoor/outdoor routes for the blind using bluetooth 4.0 ble. Procedia Comput. Sci. 83, 690–694 (2016)
European Conference of Ministers of Transport: Improving Transport Accessibility for All. Guide to Good Practice. OECD Publications Service, Paris, France, pp. 41–71 (2006)
Faragher, R., Harle, R.: Location fingerprinting with bluetooth low energy beacons. IEEE J. Sel. Areas Commun. 33(11), 2418–2428 (2015)
Faragher, R., Harle, R.: An analysis of the accuracy of bluetooth low energy for indoor positioning applications. In: Proceedings of the 27th International Technical Meeting of The Satellite Division of the Institute of Navigation, pp. 201–210 (2014)
Feng, C., Au, W.S.A., Valaee, S., Tan, Z.: Received-signal-strength-based indoor positioning using compressive sensing. IEEE Trans. Mob. Comput. 11(12), 1983–1993 (2012)
García, C.R., Pérez, R., Alayón, F., Quesada-Arencibia, A., Padrón, G.: Provision of ubiquitous tourist information in public transport networks. Sensors 12(9), 11451–11476 (2012). (Basel, Switzerland)
Ge, T.: Indoor positioning system based on bluetooth low energy for blind or visuallyimpaired users. Master’s thesis, KTH Royal Institute of Technology, School of Information and Communication Technology (ICT), Department of Communication Systems, October 2015
Golden, S.A., Bateman, S.S.: Sensor measurements for wi-fi location with emphasis on time-of-arrival ranging. IEEE Trans. Mob. Comput. 6(10), 1185–1198 (2007)
Gu, Y., Lo, A.C.C., Niemegeers, I.G.: A survey of indoor positioning systems for wireless personal networks. IEEE Commun. Surv. Tutor. 11(1), 13–32 (2009)
Han, G., Choi, D., Lim, W.: Reference node placement and selection algorithm based on trilateration for indoor sensor networks. Wirel. Commun. Mob. Comput. 9(8), 1017–1027 (2009)
Herrera-Vargas, M.: Indoor navigation using bluetooth low energy (BLE) beacons. Master’s thesis, Turku University of Applied Sciences, June 2014
Infsoft: Sbb - my station. http://www.infsoft.com/industries/railway-stations/success-story/utm_source/website/utm_medium/link/utm_campaign/indoornavigation. Accessed 14 June 2016
Ivanov, R.: Mobile gps navigation application, adapted to visually impaired people. In: Proceedings of International Conference Automatics and Informatics, Sofia, Bulgaria, pp. 1–4 (2008)
Kouhbor, S., Ugon, J., Kruger, A., Rubinov, A., Branch, P.: A new algorithm for the placement of WLAN access points based on nonsmooth optimization technique. In: The 7th International Conference on Advanced Communication Technology, ICACT 2005, vol. 1, pp. 352–357 (2005)
Lee, B., Im, S., Lee, S., Kim, B., Roh, B., Ko, Y.: The beacon identification using low pass filter for physical web based IoT services. In: 2015 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM), pp. 354–358, August 2015
Li, H.: Low-cost 3D bluetooth indoor positioning with least square. Wirel. Pers. Commun. 78(2), 1331–1344 (2014)
Liu, H., Darabi, H., Banerjee, P.P., Liu, J.: Survey of wireless indoor positioning techniques and systems. IEEE Trans. Syst. Man Cybern. Part C 37(6), 1067–1080 (2007)
Mitchell, C., Suen, S.L.: Urban travel, intelligent transportation systems, and the safety of elderly and disabled travelers. J. Urban Technol. 5(1), 17–43 (1998)
Moreno-Díaz, R., Quesada-Arencibia, A., Rodríguez-Rodríguez, J.C., de Blasio, G.: Mechanism for retinal motion description suggested by a bio-inspired artificial vision system. Sci. Math. Japonicae 64(2), 395–403 (2006)
Nakayama, K.: Biological image motion processing: a review. Vis. Res. 25(5), 625–660 (1985)
Pritt, N.: Indoor location with wi-fi fingerprinting. In: IEEE Applied Imagery Pattern Recognition Workshop: Sensing for Control and Augmentation (AIPR 2013), pp. 1–8 (2013)
Richardson, B.C., Huang, H.C., Ebarvia, B.N., Kearney, O.P.: Toward estimating intelligent transportation system benefits based on user needs. Technical report. ITSRCE 939424, The University of Michigan Transportation Research Institute, The Buhr Building, 837 Greene Street, Suite 1210, Ann Arbor, Michigan 48104–3213, December 2000
Stradling, S.G.: Moving around: some aspects of the psychology of transport. Commissioned Science Review for Intelligent Infrastructure Systems project, Foresight, Department of Trade and Industry, London (2006)
Su, H.K., Liao, Z.X., Lin, C.H., Lin, T.M.: A hybrid indoor-position mechanism based on bluetooth and WiFi communications for smart mobile devices. In: 2015 International Symposium on Bioelectronics and Bioinformatics (ISBB), pp. 188–191, October 2015
United Nations: United nations enable. https://www.un.org/development/desa/disabilities/. Accessed 1 June 2016
U.S. Department of transportation: older road users. http://safety.fhwa.dot.gov/older_users/. Accessed 14 June 2016
Vera-Gomez, J.A., Quesada-Arencibia, A., García, C.R., Suárez-Moreno, R., Guerra-Hernández, F.: Intelligent management of parking lots in urban contexts. In: García-Chamizo, J.M., Fortino, G., Ochoa, S.F. (eds.) UCAmI 2015. LNCS, vol. 9454, pp. 499–504. Springer, Heidelberg (2015). doi:10.1007/978-3-319-26401-1_47
Wang, Y., Yang, X., Zhao, Y., Liu, Y., Cuthbert, L.: Bluetooth positioning using RSSI and triangulation methods. In: 2013 IEEE 10th Consumer Communications and Networking Conference (CCNC), pp. 837–842, January 2013
Youssef, M., Agrawala, A.K.: Small-scale compensation for WLAN location determination systems. In: 2003 IEEE Wireless Communications and Networking, WCNC 2003, New Orleans, LA, USA, 16–20 March 2003, pp. 1974–1978 (2003)
Youssef, M., Agrawala, A.K.: The horus WLAN location determination system. In: Proceedings of the 3rd International Conference on Mobile Systems, Applications, and Services, MobiSys 2005, Seattle, Washington, USA, 6–8 June 2005, pp. 205–218 (2005)
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de Blasio, G., Quesada-Arencibia, A., García-Rodríguez, C.R., Molina-Gil, J.M., Caballero-Gil, C. (2016). Ubiquitous Signaling System for Public Road Transport Network. In: García, C., Caballero-Gil, P., Burmester, M., Quesada-Arencibia, A. (eds) Ubiquitous Computing and Ambient Intelligence. IWAAL AmIHEALTH UCAmI 2016 2016 2016. Lecture Notes in Computer Science(), vol 10070. Springer, Cham. https://doi.org/10.1007/978-3-319-48799-1_49
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DOI: https://doi.org/10.1007/978-3-319-48799-1_49
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