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Paper ID:IJSREM68498

JOURNEY DNA: SMART TRAVEL PLANNIG & BUS FLEET BOOKING PLATFORM

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM68498

Volume:

10 |

10 |

Oct 2026

Pages:

1-9

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

NS

NISHANTH S

Computer Science and Engineering

Sri Shakthi Institute of Engineering & Technology

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NC

NISHANTH C

Computer Science and Engineering

Sri Shakthi Institute of Engineering & Technology

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MS

MAHASAKTHI S

Computer Science and Engineering

Sri Shakthi Institute of Engineering & Technology

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NRK

NISHANTH R K

Computer Science and Engineering

Sri Shakthi Institute of Engineering & Technology

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Mentors

S

Sabeetha

Computer Science and Engineering

Sri Shakthi Institute of Engineering & Technology

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Abstract

Modern leisure travel and collective group excursions are frequently hindered by severe information fragmentation, compelling travelers to juggle disconnected mapping tools, unverified tourist directories, private fleet operators, and manual spreadsheets. This paper introduces Journey DNA, an integrated, location-aware travel planning and charter bus discovery web platform designed to unify destination cataloging, spatial route synthesis, and private transport booking into a cohesive cyber-physical architecture. Engineered with a lightweight client-server model utilizing HTML5, modern CSS3, asynchronous JavaScript with Leaflet GIS mapping, a Python Flask micro-framework backend, and a transactional SQLite relational database, Journey DNA provides an end-to-end itinerary ecosystem. The system incorporates a 28-category spatial discovery engine computing real-time straight-line and detour metrics via the Haversine formulation, an automated passenger-capacity-to-bus classification algorithm, a dedicated hidden-gems discoverer, upcoming cultural event tracking, and an administrative governance dashboard enforced through session-based Role-Based Access Control (RBAC). Empirical evaluation and automated test suites confirm 100% compliance across authentication, spatial filtering, fleet reservation workflows, and data integrity without relying on costly closed-source platform dependencies. The proposed platform significantly diminishes cognitive friction and planning overhead, advancing the practical democratization of smart tourism ecosystems.

KEYWORDS

Smart Tourism Personalized Travel Planning Web Application Geographic Information Systems (GIS) Tourist Destination Discovery Python Flask SQLite Bus Fleet Discovery Travel Itinerary Management Haversine Spatial Filtering.

Cite This Article

NISHANTH S, NISHANTH C, MAHASAKTHI S, NISHANTH R K, Sabeetha, "JOURNEY DNA: SMART TRAVEL PLANNIG & BUS FLEET BOOKING PLATFORM," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-9, Oct 2026.

Full Article/Conclusion

This research presented Journey DNA, an integrated smart web platform designed to eradicate information fragmentation across digital tourism and charter fleet discovery. By synthesizing tourist destination cataloging, an interactive Leaflet GIS mapping engine, a 28-category spatial proximity companion, passenger-to-bus capacity heuristics, and an administrative booking governance module within a unified Python Flask and SQLite architecture, Journey DNA bridges the longstanding operational chasm between travelers and independent charter operators. Empirical testing confirmed robust sub-50ms query latencies, faultless role-based access enforcement, and 100% end-to-end test execution compliance. The project underscores the viability of utilizing open-standard, zero-license-cost technology stacks to democratize smart tourism ecosystems, providing a scalable foundation for regional tourism authorities and academic travel collectives alike.

References

[1]  D. Buhalis and A. Amaranggana, "Smart tourism destinations enhancing tourism experience through personalization of services," in Information and Communication Technologies in Tourism 2014. Cham: Springer, 2014, pp. 377-389. DOI: 10.1007/978-3-319-03973-2_28. [2]  U. Gretzel, M. Sigala, Z. Xiang, and C. Koo, "Smart tourism: foundations and developments," Electronic Markets, vol. 25, no. 3, pp. 179-188, 2015. DOI: 10.1025/s12525-015-0196-8. [3]  K. H. Lim, J. Chan, S. Karunasekera, and C. Leckie, "Tour recommendation and trip planning using location-based social media: a survey," Knowledge and Information Systems, vol. 60, no. 3, pp. 1247-1275, 2019. DOI: 10.1007/s10115-018-1297-4. [4]  M. De Choudhury, M. Feldman, S. Amer-Yahia, N. Golbandi, R. Lempel, and C. Yu, "Automatic construction of travel itineraries using social breadcrumbs," in Proc. 21st ACM Conf. on Hypertext and Hypermedia, 2010, pp. 35-44. DOI: 10.1145/1810617.1810626. [5]  Z. Xiang, V. P. Magnini, and D. R. Fesenmaier, "Information technology and consumer behavior in travel and tourism: Insights from travel planning using the internet," Journal of Retailing and Consumer Services, vol. 22, pp. 244-249, 2015. DOI: 10.1016/j.jretconser.2014.08.005. [6]  H. Werthner and S. Klein, "ICT and the travel industry: taxonomy and theoretical foundations," Electronic Markets, vol. 9, no. 4, pp. 256-265, 1999. DOI: 10.1080/101967899358936. [7]  R. W. Sinnott, "Virtues of the Haversine," Sky and Telescope, vol. 68, no. 2, p. 159, 1984. [8]  N. Grinberg and Y. Grinberg, "Evaluating itinerary recommendation systems: an experimental study," Information Technology & Tourism, vol. 14, no. 4, pp. 283-305, 2012. [9]   V. D. A. Tran, H. Q. Nguyen, and T. M. Le, "A survey on personalized itinerary planning in smart tourism," IEEE Access, vol. 8, pp. 195844-195861, 2020. DOI: 10.1109/ACCESS.2020.3033785. [10]  Leaflet Development Team, "Leaflet: an open-source JavaScript library for mobile-friendly interactive maps," Version 1.9.4, 2024. [Online].Available: https://leafletjs.com

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Publication Date

10/31/2026

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Double-Blind Peer Review

Review Rounds: 2

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