“SmartRoutes: Optimizing Tour Routes Using IoT and Data Analytics"

  • Unique Paper ID: 168997
  • PageNo: 145-150
  • Abstract:
  • This study highlights how effective strategies, including the use of information technology, customer feedback, and industry trends, contribute to better decision-making, personalized travel services, and the overall growth of agencies. It further investigates the challenges faced by tour and travel agencies in implementing, such as technological barriers, staff training, and resource allocation. Tourism is a global industry that faces challenges such as traffic congestion, inefficient resource allocation, and increasing environmental concerns. This paper presents Smart Routes, a dynamic, web-based system. This study highlights how effective strategies, including the use of information technology, customer feedback, and industry trends, contribute to better decision-making, personalized travel services, and the overall growth of agencies. It further investigates the challenges faced by tour and travel agencies in implementing, such as technological barriers, staff training, and resource allocation. By this proper framework, tour and travel agencies can improve their service delivery, foster innovation, and sustain long-term business success in a rapidly changing market. The web-based application, developed using JavaScript, CSS, and HTML for the front end and Java with JDBC for the back end, dynamically calculates and suggests optimal tour routes for travel agencies.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{168997,
        author = {Patel Anish and Randive Yogesh and Auti Shruti and Mandlik Prerana and Dr.P.D.Halle},
        title = {“SmartRoutes: Optimizing Tour Routes Using IoT and Data  Analytics"},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {145-150},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=168997},
        abstract = {This study highlights how effective strategies, including the use of information technology, customer feedback, and industry trends, contribute to better decision-making, personalized travel services, and the overall growth of agencies. It further investigates the challenges faced by tour and travel agencies in implementing, such as technological barriers, staff training, and resource allocation. 
Tourism is a global industry that faces challenges such as traffic congestion, inefficient resource allocation, and increasing environmental concerns. This paper presents Smart Routes, a dynamic, web-based system.
This study highlights how effective strategies, including the use of information technology, customer feedback, and industry trends, contribute to better decision-making, personalized travel services, and the overall growth of agencies. It further investigates the challenges faced by tour and travel agencies in implementing, such as technological barriers, staff training, and resource allocation.
By this proper framework, tour and travel agencies can improve their service delivery, foster innovation, and sustain long-term business success in a rapidly changing market.
The web-based application, developed using JavaScript, CSS, and HTML for the front end and Java with JDBC for the back end, dynamically calculates and suggests optimal tour routes for travel agencies.},
        keywords = {Eco-Friendly Tourism, Personalized Travel Itineraries, Online Travel Platforms, Sustainable Tourism, Real-Time Updates.},
        month = {November},
        }

Cite This Article

Anish, P., & Yogesh, R., & Shruti, A., & Prerana, M., & Dr.P.D.Halle, (2024). “SmartRoutes: Optimizing Tour Routes Using IoT and Data Analytics". International Journal of Innovative Research in Technology (IJIRT), 11(6), 145–150.

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