Conceptual Model of Providing Traffic Navigation Services to Visually Impaired Persons

  • Marko Periša FPZ
  • Dragan Peraković Fakultet prometnih znanosti
  • Slavko Šarić Fakultet prometnih znanosti

Abstract

In order to include people of reduced mobility in the traffic system it is necessary to provide accessibility and information of the users to all the facilities surrounding them. By analysing the currently available information and communication technologies a new conceptual model of providing navigation services to the visually impaired persons has been proposed. This model is based on Cloud Computing platform, and this research describes the method of navigating the users based on accurate and updated data. The users’ requirements have been analysed according to the needs of the movement of visually impaired persons along the traffic network. The information and communication solutions with the function of informing these groups of users have to provide accurate and updated data, which is made possible by the proposed model. This research was conducted on the most frequent routes in the city of Zagreb. With the review of model efficiency user’s sense of security is increased in the amount of 87%.

References

Report on Disabled Persons in the Republic of Croatia. Croatian National Institute for Public Health. Public Health Service; 2013.

Brassai ST, Bako L, Losonczi L. Assistive Technologies for Visually Impaired People. Acta Universitatis Sapientiae: Electrical and Mechanical Engineering. 2011;3:39-50.

Kammoun S, Macé J-MM, Oriola B, Jouffrais C. Designing a Virtual Environment Framework for Improving Guidance for the Visually Impaired. In: Langdon P, Clarkson J, Robinson P, Lazar J, Heylighen A, editors. Designing Inclusive Systems: Designing Inclusion for Real-world Applications. London: Springer; 2012. p. 217-226.

May M, Casey K. Accessible Global Positioning Systems. In: Manduchi R, Kurniawan S, editors. Assistive technology for Blindness and low vision. CRC Press, Taylor & Francis Group; 2013.

Liao C, Choe P, Wu T, Tong Y, Dai C, Liu Y. RFID-Based Road Guiding Cane System for the Visually Impaired, Cross-Cultural Design. Methods, Practice and Case Studies, Lecture Notes in Computer Science. 2013;8023:86-93.

DeRuwe G, Wall R. Pedestrian Navigation and Integration with Distributed Smart Signal Traffic Controls. IECON 2008, 34th Annual Conference of IEEE Industrial Electronics; 2008.

McLeod FN, Hounsell NB, Rajbhandari B. Improving traffic signal control for pedestrians. RTIC 2004, 12th IEE International Conference on Road Transport Information and Control; 2004.

Pelin A, Bhargava B, Helal S. A mobile-Cloud Collaborative Traffic lights Detector for Blind Navigation, IEEE 2010, Eleventh International Conference on Mobile Data Management (MDM); 2010.

Yuriyama M, Kushida T. Sensor-Cloud Infrastructure - Physical Sensor Management with Virtualized Sensors on Cloud Computing, 13th International Conference on Network-Based Information Systems (NBiS); 2010.

Ahmetovic D, Bernareggi C, Mascetti S. Zebralocalizer: identification and localization of pedestrian crossings. In: Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services (MobileHCI '11). New York: ACM; 2011.

Anžek M, Divić A, Lanović Z. Guidelines for traffic light signalisation on roads. Zagreb: Ministry of the Sea, Transport and Communications, Croatian roads Ltd; 2001.

Periša M. Dynamic guiding and routing of Disabled and Visually Impaired Persons in Traffic [Ph.D. thesis]. Zagreb: University of Zagreb, Faculty of Transport and Traffic Sciences; 2013. 154 p.

Badger ML, Grance T, Patt-Corner R, Voas JM. Cloud Computing Synopsis and Recommendations. National Institutes of Standards and Technology; 2012.

Liu S, Wei M, Schalow D, Spruill K. Improving Web access for visually impaired users. IT Professional. 2004;6(4):28-33.

Published
2014-05-26
How to Cite
1.
Periša M, Peraković D, Šarić S. Conceptual Model of Providing Traffic Navigation Services to Visually Impaired Persons. Promet [Internet]. 2014May26 [cited 2024Jun.16];26(3):209-18. Available from: https://traffic.fpz.hr/index.php/PROMTT/article/view/1492
Section
Articles