Using Augmented Reality Technology to Improve the Quality of Transport Services

Autor: Svyatoslav Seliverstov, Nikolay Podoprigora, Ilya. A. Burov, Victoria Chigur, Eugenia Vydrina, Dmitriy Skorokhodov, Anastasia Cheremisina, Yaroslav A. Seliverstov, Natalia Shatalova
Rok vydání: 2020
Předmět:
Zdroj: Convergent Cognitive Information Technologies ISBN: 9783030374358
DOI: 10.1007/978-3-030-37436-5_30
Popis: The problem of marking the area of the preferred route by means of mobile technology of augmented reality for public transport routes is considered. The analysis of modern theoretical and applied solutions of using the technology of augmented reality in mobile applications is carried out. The task is to reduce the time interval for the search for the route of public transport and the decision to choose a vehicle for an ignorant urban resident, in the conditions of a limited time resource. A theoretical method for marking the routes of public transport on the basis of the transport utility function is proposed. An algorithm is developed for marking the routes of public transport. The software implementation of the algorithm in mobile execution is performed in the Unity and Vuforia environment, using the Yandex API. The problem of finding information on the routes of passenger transport and the problem of improving the perception of transport information through its visual display on a mobile device are solved. A comparison is made between the speed of the developed technology and the existing solutions by the time criterion. Recommendations on the further use of the developed approaches are discussed.
Databáze: OpenAIRE