Exploring Automated Systems for Planning Travel Itineraries


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 :

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  14. 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.

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