Published on: October 2026
SMART TRAVEL SYNC: AN INTELLIGENT TRAVEL PLANNING AND COORDINATION SYSTEM
Leemisha Wagh Mehek Thakre Diya Dorsetwar Harshita Gajbhiye P. S. Gotmare
Troshna Binkar.
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Abstract
Keywords: Smart travel, itinerary planning, travel recommendation, route optimization, schedule synchronization, personalized tourism.
How to Cite this Paper
Wagh, L., Thakre, M., Dorsetwar, D., Gajbhiye, H. & Gotmare, P. S. (2026). Smart Travel Sync: An Intelligent Travel Planning and Coordination System. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(10), 1-9. https://doi.org/10.55041/ijcope.v2i10.163
Wagh, Leemisha, et al.. "Smart Travel Sync: An Intelligent Travel Planning and Coordination System." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 10, 2026, pp. 1-9. doi:https://doi.org/10.55041/ijcope.v2i10.163.
Wagh, Leemisha,Mehek Thakre,Diya Dorsetwar,Harshita Gajbhiye, and P. Gotmare. "Smart Travel Sync: An Intelligent Travel Planning and Coordination System." International Journal of Creative and Open Research in Engineering and Management 02, no. 10 (2026): 1-9. https://doi.org/https://doi.org/10.55041/ijcope.v2i10.163.
References
1] J. Borràs, A. Moreno, and A. Valls, “Intelligent tourism recommender systems: A survey,” Expert Systems with Applications, vol. 41, no. 16, pp. 7370–7389, 2014, doi: 10.1016/j.eswa.2014.06.007.[2] General Transit Feed Specification, “Overview: GTFS Schedule and GTFS Realtime,” GTFS Documentation.
[3] J. P. Esper, L. de S. Fraga, A. C. Viana, K. V. Cardoso, and S. L. Correa, “+Tour: Recommending personalized itineraries for smart tourism,” Computer Networks, vol. 260, art. 111118, 2025, doi: 10.1016/j.comnet.2025.111118.
[4] K. Otaki, T. Nakajima, and Y. Matsumoto, “Travel itinerary recommendation using interaction-based data augmentation,” Expert Systems with Applications, vol. 236, 2025.
[5] Yadav, S., et al. (2025). JourneyJolt: AI-Powered Travel Planning. International Journal of Recent Trends in Innovation.
[6] B. S. S. Miryalkar, H. Kalidindi, V. S. Mashetty, A.
Moturi, andS. Sanapala”Journey, Craft: Crafting a Smart Traveling Experience,”in 2024 IEEE Xplore. [Online]. Available: https://ieeexplore.ieee.org/document/10673012.
[7] 1] S. Sankar, N. Kumar, S. M. Dinesh, S. Abhishek, and A. T,”Intelligent Trip Planning with Integrated Street View: A Seamless AI-driven Approach,” in 2023 IEEE Xplore. [Online]. Available: https://ieeexplore.ieee.org/document/10434354[2].
[8] Najmeh Neshat, Saeedeh Moayedfar Sustainable Tourism withDeep Learning Approaches,” in 2021 Journal of Eco-Friendly AITravel, [Online]. Available: https://www.tandfonline.com/doi/full/10.1080/19407963.2021.
[9] S. Renjith and A. Sreekumar, “A survey on context-aware recommender systems in tourism,” Journal of Systems and Software, vol. 165, 2020.
[10] S. Chen, Y. Sun, J. Zhang, and X. Li, “Itinerary planning via deep reinforcement learning,” in Proc. ACM Int. Conf. on Information and Knowledge Management, 2020, pp. 115–124.
[11] Sánchez, J., González, J., & Martínez, M. (2019). Faculty assignment models: Balancing preferences and student demand. Computers & Education, 136, 105-118.
[12] Sena, M., Dhanalakshmi, G., & Babu, S. (2018). Optimizing student grouping using genetic algorithms International Journal of Computer Applications, 179(18), 29-34.
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- •Published on: Oct 25 2026
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