Conceptual Model of Providing Traffic Navigation Services to Visually Impaired Persons

Marko Periša, Dragan Peraković, Slavko Šarić
  • PROMET - Traffic&Transportation, May 2014, Faculty of Transport and Traffic Sciences
  • DOI: 10.7307/ptt.v26i3.1492

Conceptual Model of Providing Traffic Navigation Services to Visually Impaired Persons

What is it about?

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.

Why is it important?

The results of applying the mentioned conceptual model are reflected in the efficient manner of navigating users along the traffic network. During user education their walking speed to the initial point of crossing amounted to 0.55 [m/s] which was also the mean speed in several carried out measurements. Besides the measurement of user’s speed, minimal green light duration was also measured, and its duration was 48 [s]. The length of southbound pedestrian crossing is 33 [m]. Therefore, if user is moving with average speed, there is no enough time for safe crossing. Also, it is essential to adjust signal control with the average user speed.


Dr Marko Perisa
Faculty of Transport and Traffic Sciences

The CCfB architecture represents the method of collecting, processing and storing data that are always updated and available 24(hours)/7(days), with all the participants taking part in the creation, updating and checking of data. IC technologies available today to a greater extent are adapted to the users’ requirements, which does not limit the described solution, for other participants in the presented architecture as well. This conceptual model facilitates improved control of managing the traffic intersection, precise navigation and better perception and orientation of the users.

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The following have contributed to this page: Professor Dragan Perakovic and Dr Marko Perisa