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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM35217
Volume:
8 |
6 |
Jun 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
The Travel Planner System offers real-time trip planning and predictive analysis of travel conditions by utilizing advanced machine learning techniques and real-time data processing. By integrating transportation networks with cloud computing, the system continuously gathers and evaluates travel data to enhance route optimization and identify potential delays. Equipped with intelligent data processing, dynamic trend analysis, and automated notifications, it ensures timely updates and informed decision-making for travelers. Through an intuitive web and mobile platform, users receive live updates, personalized route suggestions, and travel alerts to improve convenience and efficiency. This data-driven solution enhances travel experiences, supports smart transportation initiatives, and fosters seamless urban mobility by providing accurate insights for proactive travel management.
KEYWORDS
Publication Date
4/18/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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