A SOLUTION TO IMPROVE THE EFFICIENCY OF FINDING WAY AND NEARBY PLACE NOTIFICATION APPLIED FOR SMART TRAVEL SYSTEM

Vũ Thành Vinh; Nguyễn Hữu Công; Nguyễn Hữu Khánh; Nguyễn Xuân Kiên

doi:10.34238/tnu-jst.6961

A SOLUTION TO IMPROVE THE EFFICIENCY OF FINDING WAY AND NEARBY PLACE NOTIFICATION APPLIED FOR SMART TRAVEL SYSTEM

About this article

Received: 21/11/22 Revised: 31/03/23 Published: 07/04/23

Authors

1. Vu Thanh Vinh , TNU – University of Information and Communication Technology
2. Nguyen Huu Cong, 2Thai Nguyen University
3. Nguyen Huu Khanh, Thai Nguyen University
4. Nguyen Xuan Kien, TNU – University of Information and Communication Technology

Abstract

Nowadays, more and more tourist attractions are built into a tourist complex with different small sights in a large campus. This will cause difficulties for tourists in finding the way and may leave out places to visit in large sightseeing area. Meanwhile, famous travel softwares such as Smart Tourism of VNPT, TripHunter, VisitKorea, and even Google Maps are having limitations to find the way between small attractions in a tourist area. In order to solve this problem, we propose a solution to improve the efficiency of route finding by adding new places to the planning map and embedding it on Google Maps. Simultaneously, we inherit the Context-based Guide Algorithm (CGA) in Universal Smart Travel of Thai Nguyen (USToT) to find the way and automatically detect the nearby places to inform the user in order to avoid leaving attractions out. The experimental evaluation results show that our solution not only finds the way between attractions on campus better than Google Maps, but also automatically alerts when the user approaches the attraction.

Keywords

Smart travel; Nearby place notifications; Finding the way; Google Maps; Digital map

Full Text:

PDF (Tiếng Việt)

References

[1] M. Musa, P. Rahman, Z. Kang, and S. F. A. Hossain, “Technology Application in the Chinese Tourism Industry,” in Technology Application in Tourism in Asia, Springer, 2022, pp. 219-239, doi: 10.1007/978-981-16-5461-9_13.

[2] V. L. Ngo and T. L. Ngo, “Solutions to the development of Ba Ria – Vung Tau tourism in the Industrial Revolution 4.0,” in Proceedings of the conference on Science of Tourism Development in the Industrial Revolution 4.0, 2019, pp. 56-61.

[3] T. T. H. Nguyen, “Applying technology to develop Da Nang into smart tourism destinations,” in Proceedings of the 6th Conference on Information Technology and Its Application, 2017, pp. 330-336.

[4] Y. -W. Chang and C. -Y. Tsai, "Apply Deep Learning Neural Network to Forecast Number of Tourists," in 31st International Conference on Advanced Information Networking and Applications Workshops (WAINA), 2017, pp. 259-264, doi: 10.1109/WAINA.2017.125.

[5] S. Maidullah, M. R. Hossain, F. Akhter, and A. Hassan, “Transmogrifying Tourism Events in Industry 4.0: An Analysis from Industry and Tourist Perspectives,” in Technology Application in Tourism Fairs, Festivals and Events in Asia, Springer, 2022, pp. 3-22, doi: 10.1007/978-981-16-8070-0_1.

[6] T. Pencarelli, “The digital revolution in the travel and tourism industry,” Information Technology & Tourism, vol. 22, pp. 455–476, 2020, doi: 10.1007/s40558-019-00160-3.

[7] K. H. Bhuiyan, I. Jahan, N. M. Zayed, K. M. A. Islam, and S. Suyaiya, "Smart Tourism Ecosystem: A New Dimension toward Sustainable Value Co-Creation," Sustainability, vol. 14, no. 22, 2022, Art. no. 15043, doi: 10.3390/su142215043.

[8] A. S. Troshin, A. P. Sokolova, E. O. Ermolaeva, R. M. Magomedov, and T. L. Fomicheva, “Information Technology in Tourism: Effective Strategies for Communication with Consumers,” Journal of Environmental Management and Tourism, vol. 11, no. 2, pp. 322-330, 2020, doi: 10.14505//jemt.v11.2(42).10.

[9] C. Chu and C. Huang, "A Platform for Travel Planning by Using Google Maps," in 16th IEEE International Conference on Mobile Data Management, 2015, pp. 120-125, doi: 10.1109/MDM.2015.13.

[10] A. G. Bulti, A. Ray, and Bhuyan, “Smart tourism system architecture design using the internet of everything(IOE) over cloud platform,” International Journal of Innovative Technology and Exploring Engineering (IJITEE), vol. 8, no. 6S, pp. 421-426, 2019.

[11] P. L. Hoang, P. Nguyen, and T. H. Le, “A new apporach based on genetic algorithm for finding the optimal road in multi-source, multi-destnation of Google Maps,” TNU Journal of Science and Technology, vol. 208, no. 15, pp. 89-96, 2019.

[12] Imagine your Korea, “Visit Korea App,” 2022. [Online]. Available: https://www.visitkorea.org.vn/ve-han-quoc/app-download. [Accessed October 12, 2022].

[13] VNPT, “Smart Travel Solution,” 2022. [Online]. Available: https://vnpt.com.vn/doanh-nghiep/ sanpham-dich-vu/giai-phap-du-lich-thong-minh-smart-tourist/. [Accessed October 30, 2022].

[14] TripHunter Joint Stock Company, “TripHunter,” 2022. [Online]. Available: https://triphunter.vn/ [Accessed October 8, 2022].

[15] H. Vahdat-Nejad, H. Khosravi-Mahmouei, M. Ghanei-Ostad, and A. Ramazani, “Survey on contextaware tour guide systems,” IET Smart Cities, vol. 2, no. 1, pp. 34-42, 2020.

[16] T. V. Vu, H. C. Nguyen, H. K. Nguyen, D. T. Pham, K. N. Nguyen, and X. K. Nguyen, “Building the smart tourism system of multi-platform application for Thai Nguyen province,” TNU Journal of Science and Technology, vol. 227, no. 02, pp. 70-77, 2022, doi: 10.34238/tnu-jst.5379.

[17] T. V. Vu, H. C. Nguyen, H. K. Nguyen, V. K. Nong, and X. K. Nguyen, “Automated travel planning algorithm applied on the multi-platform smart travel system ò Thai Nguyen province,” TNU Journal of Science and Technology, vol. 227, no. 11, pp. 266-274, 2022, doi: 10.34238/tnu-jst.6389.

[18] Goolge Maps Platform, [Online]. Available: https://developers.google.com/maps [Accessed October 12, 2022]

[19] WikipediA, [Online]. Available: https://en.wikipedia.org/wiki/AutoCAD [Accessed October 15, 2022].

DOI: https://doi.org/10.34238/tnu-jst.6961

Refbacks

There are currently no refbacks.



Remember me