Using Augmented Reality Technology to Improve the Quality of Transport Services

Скороходов, Д.А.; Seliverstov, Yaroslav A.; Seliverstov, S. A.; Burov, Ilya. A.; Vydrina, Evgenia O.; Podoprigora, N. V.; Shatalova, Natalia; Chigur, Victoria; Cheremisina, A.A.

doi:10.1007/978-3-030-37436-5_30

Cited by 31 publications

(3 citation statements)

References 13 publications

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“…Therefore, the range of requirements for a car or its quality criteria, as for a technical product, is constantly growing in quantitative and qualitative terms. Balancing a sufficiently large number of criteria (often contradictory) can only be a control system that combines the scientific principles of decision-making theory and modern information technology [6,7].…”

Section: Methodsmentioning

confidence: 99%

Methods of systemic management of the service life of vehicles

et al. 2021

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The article discusses the methods of multi-criteria assessment of the efficiency of vehicle operation according to their properties. The main difficulties in solving the issue of technical operation of vehicles when introducing these methods into the assessment process are highlighted. Algorithms of decision-making related to the choice of a vehicle in conditions of uncertainty of the external environment are analyzed. Their advantages and disadvantages are substantiated. A methodology for calculating weight coefficients for the optimization and development of the transport system is proposed.

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Section: Methodsmentioning

confidence: 99%

Methods of systemic management of the service life of vehicles

et al. 2021

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“…The operating company can either write off the car upon reaching the limiting state according to some criterion, or, by means of technical influences (maintenance or major overhaul), raise the reduced value of the quality indicator (coefficient of technical utilization -COU) to the required level, while increasing the cost of its operation. In any case, an analytical apparatus is needed that allows the management of quality indicators in the TOV process [16][17][18]. Let us consider the possible dynamics of the change in the COU of a car, depending on the mileage from the beginning of its operation, in several variants.…”

Section: Methodsmentioning

confidence: 99%

Zoning methodology for estimating the service life of the vehicle

et al. 2021

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The article presents a comprehensive method for removing uncertainty when solving multicriteria problems of vehicle maintenance. The task of the control system for the service life of the car is formed, and its characteristics are also highlighted. The main provisions of the zoning method are formulated from the point of view of the hierarchical correlation of the probabilities of the state of the external environment. The dynamics of changes in the quality indicators of cars in a multicriteria setting is estimated.

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“…Regarding the studies related to the provision of sightseeing information using AR, Fukada et al [20] proposed a sightseeing information provision system, Komoda et al [21], Han et al [7], Vecchio et al [22], and Skorokhodovd et al [23] developed a mobile sightseeing application that provides the information, and Miyajima et al [24] proposed a sightseeing guidance system using a beacon. Zhou et al [25] designed a tourist attraction guide system combining image recognition technology and AR technology.…”

Section: Related Workmentioning

confidence: 99%

Sightseeing Navigation System from Normal Times to Disaster Outbreak Times within Urban Tourist Areas in Japan

Sasaki

Yamamoto

2021

Applied Sciences

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In tourist areas, it is necessary to prepare a method that supports tourists’ activities by providing information concerning disaster support facilities during normal times, in addition to sightseeing spots and tourism-related facilities, because there is a risk of confusion during disasters, as tourists are not aware of the locations of disaster support facilities. The present study aims to develop a navigation system that supports the activities of users during both normal times and disasters by integrating augmented reality (AR) and web geographic information systems (Web-GISs), as well as by using pictograms. The system can not only effectively provide users with information concerning sightseeing spots and tourism-related facilities but also information concerning disaster support facilities. The system was operated over a period of 6 weeks in Chofu City, Tokyo Metropolis, Japan. Based on the results of a questionnaire survey for 60 users, the system was highly evaluated for its originality in terms of displays and functions using pictograms, navigation using AR, and obtaining information during disasters. Additionally, based on the results of access log analysis, the system was continuously utilized by users during the operation period. Therefore, by continuously operating the system, it can be expected that users will further utilize each function of the system.

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Using Augmented Reality Technology to Improve the Quality of Transport Services

Cited by 31 publications

References 13 publications

Methods of systemic management of the service life of vehicles

Methods of systemic management of the service life of vehicles

Zoning methodology for estimating the service life of the vehicle

Sightseeing Navigation System from Normal Times to Disaster Outbreak Times within Urban Tourist Areas in Japan

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