Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Using Augmented Reality Technology to Improve the Quality of Transport Services. / Skorokhodov, Dmitriy; Seliverstov, Yaroslav; Seliverstov, Svyatoslav; Burov, Ilya; Vydrina, Eugenia; Podoprigora, Nikolay; Shatalova, Natalia; Chigur, Victoria; Cheremisina, Anastasia.
Convergent Cognitive Information Technologies - 3rd International Conference, Convergent 2018, Revised Selected Papers. ред. / Vladimir Sukhomlin; Elena Zubareva. Springer Nature, 2020. стр. 339-348 (Communications in Computer and Information Science; Том 1140 CCIS).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
}
TY - GEN
T1 - Using Augmented Reality Technology to Improve the Quality of Transport Services
AU - Skorokhodov, Dmitriy
AU - Seliverstov, Yaroslav
AU - Seliverstov, Svyatoslav
AU - Burov, Ilya
AU - Vydrina, Eugenia
AU - Podoprigora, Nikolay
AU - Shatalova, Natalia
AU - Chigur, Victoria
AU - Cheremisina, Anastasia
N1 - Publisher Copyright: © Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Augmented reality
KW - Mobile applications
KW - Public transport
UR - http://www.scopus.com/inward/record.url?scp=85081066011&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-37436-5_30
DO - 10.1007/978-3-030-37436-5_30
M3 - Conference contribution
AN - SCOPUS:85081066011
SN - 9783030374358
T3 - Communications in Computer and Information Science
SP - 339
EP - 348
BT - Convergent Cognitive Information Technologies - 3rd International Conference, Convergent 2018, Revised Selected Papers
A2 - Sukhomlin, Vladimir
A2 - Zubareva, Elena
PB - Springer Nature
T2 - 3rd International Scientific Conference on Convergent Cognitive Information Technologies, Convergent 2018
Y2 - 29 November 2018 through 2 December 2018
ER -
ID: 97769112