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Beacon technology for real-time informing the traffic network users about the environment

    Marko Periša Affiliation
    ; Ivan Cvitić Affiliation
    ; Dragan Peraković Affiliation
    ; Siniša Husnjak Affiliation

Abstract

Informing the users about their environment is of extreme importance for their full and independent functioning in the traffic system. Today’s development of technology provides the user the access to information about their environment by using the smartphone device at any moment if there is a defined applicative solution. For this, it is necessary to define the user’s environment according to the Ambient Assisted Living (AAL) concept, which understands adequate technology of gathering, processing and distribution of information. This paper presents the proposal of the solution for informing the traffic network users about the environment for the defined group of users based on the beacon technology. The mentioned solution is based on the results of two separate studies about the needs of users who move along a part of the traffic network. The aim of the proposed solution is to provide the user with precise and real-time information and to raise the level of safety during movement.

Keyword : ambient assisted living, wireless technologies, information management system, assistive technology, identification, traffic network

How to Cite
Periša, M., Cvitić, I., Peraković, D., & Husnjak, S. (2019). Beacon technology for real-time informing the traffic network users about the environment. Transport, 34(3), 373-382. https://doi.org/10.3846/transport.2019.10402
Published in Issue
Jun 3, 2019
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Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Boualouache, A. E.; Nouali, O.; Moussaoui, S.; Derder, A. 2015. A BLE-based data collection system for IoT, in 2015 First International Conference on New Technologies of Information and Communication (NTIC), 8–9 November 2015, Mila, Algeria, 1–5. https://doi.org/10.1109/NTIC.2015.7368748

Brilhault, A.; Kammoun, S.; Gutierrez, O.; Truillet, P.; Jouffrais, C. 2011. Fusion of artificial vision and GPS to improve blind pedestrian positioning, in 2011 4th IFIP International Conference on New Technologies, Mobility and Security, 7–10 February 2011, Paris, France, 1–5. https://doi.org/10.1109/NTMS.2011.5721061

Brinkmann, M.; Floeck, M.; Litz, L. 2008. Concept and design of an AAL home monitoring system based on a personal computerized assistive unit, Communications in Computer and Information Science 11: 218–227. https://doi.org/10.1007/978-3-540-85379-4_27

Cheng, R.-S.; Hong, W.-J.; Wang, J.-S.; Lin, K. W. 2016. Seamless guidance system combining GPS, BLE beacon, and NFC technologies, Mobile Information Systems 2016: 5032365. https://doi.org/10.1155/2016/5032365

Cvitić, I.; Vujić, M.; Husnjak, S. 2016. Classification of security risks in the IoT environment, in Proceedings of the 26th DAAAM International Symposium on Intelligent Manufacturing and Automation, 21–24 October 2015, Zadar, Croatia, 0731–0740. https://doi.org/10.2507/26th.daaam.proceedings.102

Dhananjeyan, S.; Sundaram, K. M.; Kalaiyarasi, A.; Kuppusamy, P. G. 2016. Design and development of blind navigation system using GSM and RFID technology, Indian Journal of Science and Technology 9(2): 1–5. https://doi.org/10.17485/ijst/2016/v9i2/85809

Eun, H.; Lee, H.; Oh, H. 2013. Conditional privacy preserving security protocol for NFC applications, IEEE Transactions on Consumer Electronics 59(1): 153–160. https://doi.org/10.1109/TCE.2013.6490254

Farooq, M. U.; Waseem, M.; Khairi, A.; Mazhar, S. 2015. A critical analysis on the security concerns of Internet of Things (IoT), International Journal of Computer Applications 111(7): 1–6. https://doi.org/10.5120/19547-1280

Garcia, N. M.; Rodrigues, J. J. P. C. 2015. Ambient Assisted Living. CRC Press.

Häggblom-Kronlöf, G.; Sonn, U. 2007. Use of assistive devices – a reality full of contradictions in elderly persons’ everyday life, Disability and Rehabilitation: Assistive Technology 2(6): 335–345. https://doi.org/10.1080/17483100701701672

Jing, Q.; Vasilakos, A. V.; Wan, J.; Lu, J.; Qiu, D. 2014. Security of the Internet of Things: perspectives and challenges, Wireless Networks 20(8): 2481–2501. https://doi.org/10.1007/s11276-014-0761-7

Joseph, S. L.; Xiao, J.; Zhang, X.; Chawda, B.; Narang, K.; Rajput, N.; Mehta, S.; Subramaniam, S. V. 2015. Being aware of the world: toward using social media to support the blind with navigation, IEEE Transactions on Human-Machine Systems 45(3): 399–405. https://doi.org/10.1109/THMS.2014.2382582

Korial, A. E.; Abdullah, M. N. 2016. Novel method using beacon and smart phone for visually impaired/blind people, International Journal of Computer Applications 137(1): 33–39. https://doi.org/10.5120/ijca2016908674

Loomis, J. M.; Golledge, R. G.; Klatzky, R. L. 2016. Navigation system for the blind: auditory display modes and guidance, Presence: Teleoperators and Virtual Environments 7(2): 193–204. https://doi.org/10.1162/105474698565677

Manduchi, R.; Kurniawan, S. 2013. Assistive Technology for Blindness and Low Vision. CRC Press. 441 p.

Panse, T.; Panse, P. 2013. A survey on security threats and vulnerability attacks on Bluetooth communication, International Journal of Computer Science and Information Technologies 4(5): 741–746.

Peraković, D.; Periša, M.; Bukljaš Skočibušić, M. 2015a. Possibilities of implementing ambient assisted living concept in traffic environment, Archives of Transport System Telematics 8(1): 30–34.

Peraković, D.; Periša, M.; Remenar, V. 2015b. Model of guidance for visually impaired persons in the traffic network, Transportation Research Part F: Traffic Psychology and Behaviour 31: 1–11. https://doi.org/10.1016/j.trf.2015.03.007

Periša, M. 2013. Dinamičko vođenje i usmjeravanje slijepih i slabovidnih osoba u prometu [Dynamic Guiding and Routing of Disabled and Visually Impaired Persons in Traffic]: Doctoral Thesis. University of Zagreb, Croatia. 205 s. (in Croatian).

Periša, M.; Peraković, D.; Šarić, S. 2014. Conceptual model of providing traffic navigation services to visually impaired persons, Promet – Traffic & Transportation 26(3): 209–218. https://doi.org/10.7307/ptt.v26i3.1492

Periša, M.; Peraković, D.; Vaculík, J. 2015. Adaptive technologies for the blind and visual impaired persons in the traffic network, Transport 30(3): 247–252. https://doi.org/10.3846/16484142.2014.1003405

Ramirez, A. R. G.; González-Carrasco, I.; Jasper, G. H.; Lopez, A. L.; Lopez-Cuadrado, J. L.; García-Crespo, A. 2017. Towards human smart cities: internet of things for sensory impaired individuals, Computing 99(1): 107–126. https://doi.org/10.1007/s00607-016-0529-2

Spinsante, S.; Gambi, E. 2015. NFC-based user interface for smart environments, Advances in Human-Computer Interaction 2015: 854671. https://doi.org/10.1155/2015/854671

Van der Bie, J.; Visser, B.; Matsari, J.; Singh, M.; Van Hasselt, T.; Koopman, J.; Kröse, B. 2016. Guiding the visually impaired through the environment with beacons, in UbiComp’16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct, 12–16 September 2016, Heidelberg, Germany, 385–388. https://doi.org/10.1145/2968219.2971387