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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM38491

Travel Optix: Vehicle Route Optimization System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM38491

Volume:

8 |

11 |

Nov 2024

Pages:

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

SHC

Sri Harshini Chilakapati

LG

Likitha Gundre

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Abstract

Travel Optix is a cutting-edge geospatial platform that offers immersive experiences and tailored suggestions to improve travel planning and navigation. Travel Optix, which offers real-time mapping, route optimization, and location data, was inspired by the features of Google Maps. It sets itself apart, though, by combining localized suggestions and travel inspiration based on user interests, preferences, and travel objectives. Apart from the standard navigation features, Travel Optix provides users with selected content within the mapping interface, including suggested itineraries, travel tips, and sites of interest. Using machine learning, Travel Optix tailors travel recommendations according to user activity, past travel information, and present location, which makes it perfect for impromptu or meticulously organized journeys. In order to facilitate effective trip management, it also provides multi-modal navigation (driving, walking, bicycling, and public transportation) with real-time traffic updates, estimated travel times, and route options.

KEYWORDS

Mapping Platform Navigation Tool Geospatial Analytics Real-time Traffic Updates Custom Map Layers Map Data Visualization Wayfinding Solutions.

Cite This Article

Sri Harshini Chilakapati, Likitha Gundre, "Travel Optix: Vehicle Route Optimization System," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 11, Nov 2024.

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Publication Date

8/10/2024

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Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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