Authors :
Abhiram H R; Aravind SK.; Bharath R Sindhe; Charan G S; Vanishri Sataraddi
Volume/Issue :
Volume 9 - 2024, Issue 11 - November
Google Scholar :
https://tinyurl.com/3mrezmfy
Scribd :
https://tinyurl.com/2s44hjde
DOI :
https://doi.org/10.5281/zenodo.14545931
Abstract :
This paper presents a comparative survey of au-
tomated travel itinerary planning systems, focusing on
systems that use artificial intelligence and machine learning
to personalizetravel experiences. By examining three recent
papers, we identifycore features, strengths, and limitations
across various trip planning technologies, including
traditional POI-based itinerary planners, generative AI
tools like ChatGPT, and community- based travel
management apps. This survey highlights the poten-tial and
limitations of current systems, shedding light on future
research directions.
Keywords :
Travel Itinerary, AI, Itinerary Planning, Tourism Technology, Generative AI.
References :
- K. Sylejmani and A. Dika, ”A Survey on Tourist Trip Planning Systems,” International Journal of Arts & Sciences, 2011.
- K. Volchek and S. Ivanov, ”ChatGPT as a Travel Itinerary Planner,” ENTER 2024, Deggendorf Institute of Technology, 2024.
- P. Priya, ”An Automated Itinerary Planning and Trip Management System,” International Journal of Creative Research Thoughts, vol. 12, no. 5, 2024.
- T. de la Rosa, S. Gopalakrishnan, A. Pozanco, Z. Zeng, and D. Bor- rajo, ”TRIP-PAL: Travel Planning with Guarantees by Combining Large Language Models and Automated Planners,” J.P. Morgan AI Research, 2024.
- K. B. and V. S., ”Intelligent Travel Planning Insights Using Machine Learning,” International Journal of Creative Research Thoughts, vol. 12, no. 4, 2024.
- K. N. Kholidah, S. Rani, and S. N. Huda present ”The Development of a Travel Itinerary Planning Application Utilizing the Traveling Salesman Problem and K-Means Clustering Approach” (Department of Informatics, Islamic University of Indonesia, 2024).
- P. Chen discusses the ”Design of a Travel Itinerary Planning System Based on Artificial Intelligence” in *Journal of Physics: Conference Series*, vol. 1533, no. 3, 2020.
- T. de la Rosa, S. Gopalakrishnan, A. Pozanco, Z. Zeng, and D. Bor- rajo, ”TRIP-PAL: Travel Planning with Guarantees by Combining Large Language Models and Automated Planners,” Proceedings of the AAAI Conference on Artificial Intelligence, 2024.
- W. M. K. Tizani, ”A Review of Trip Planning Systems,” Working Paper 373, Institute of Transport Studies, University of Leeds, 1992.
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- H. Jaiswal, ”Survey Paper on Travel Itinerary Planning Systems,” International Journal of Advances in Engineering and Management, vol. 5, no. 11, pp. 142–149, 2023.
- H. Wangi, J. T. Beng, and Wasino, ”Start to End: Recommended Travel Routes Based on Tourist Preference,” IOP Conference Series: Materials Science and Engineering, vol. 852, 012163, 2020.
- S. Basu Roy, G. Das, S. Amer-Yahia, and C. Yu, ”Interactive Itinerary Planning,” Proceedings of the VLDB Endowment, vol. 4, no. 2, pp. 175–185, 2011.
- S. S. Mariammal, S. B. Akshaya, M. Priyanga, S. Saran Kumar, and P. Prakash, ”Smart Travel Assistant with Itinerary Planner Using Hybrid Machine Learning Approach,” International Research Journal of Modernization in Engineering, Technology and Science, vol. 4, no. 5, pp. 983–989, 2022.
This paper presents a comparative survey of au-
tomated travel itinerary planning systems, focusing on
systems that use artificial intelligence and machine learning
to personalizetravel experiences. By examining three recent
papers, we identifycore features, strengths, and limitations
across various trip planning technologies, including
traditional POI-based itinerary planners, generative AI
tools like ChatGPT, and community- based travel
management apps. This survey highlights the poten-tial and
limitations of current systems, shedding light on future
research directions.
Keywords :
Travel Itinerary, AI, Itinerary Planning, Tourism Technology, Generative AI.