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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM46131

A Scalable AI-Driven Framework for Sustainable Ride-Sharing and Intelligent Logistics Using Advanced Route Optimization

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM46131

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM46131

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

DRB

Dr. Reshma Banu1

VKKM

Vinay Kumar K M2

CAN

Charitra A N3

DMN

Deepika M N4

JYT

Jnana Y T5

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Abstract

As the population grows and urbanization accelerates, there is expanding need for new transportation and logistical solutions. Today, ride-share and delivery services rely on dedicated drivers, which limit flexibility of transportation, and add overhead to service delivery. RouteGenie: AI Optimized Rides and Deliveries is a decentralized platform that allows residents to effectively become a transport service provider while on their own personal or work travel. RouteGenie enables users who are organizing travel to pool rides to transport passengers and use empty return trips to transport products using vans and/or trucks, while reducing the number of vehicles and traffic congestion on our roads. RouteGenie harnesses AI to optimize the route taken and increase travel efficiency; cut operational costs, reduce consumption of fuel and lower emissions. Performance measures evaluations indicates significant improvements in operational travel efficiency, as compare to conventional modes of transporting goods. This paper highlighted the potential of the platform, challenges with development and future opportunities to more sustainably developed a user-driven transportation and mobility system.

KEYWORDS

Dynamic Pricing real-time GPS tracking user authentication Route Optimization and integration of public transport.

Cite This Article

Dr. Reshma Banu1, Vinay Kumar K M2, Charitra A N3, Deepika M N4, Jnana Y T5, "A Scalable AI-Driven Framework for Sustainable Ride-Sharing and Intelligent Logistics Using Advanced Route Optimization," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025. https://doi.org/10.55041/IJSREM46131

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Publication Date

4/28/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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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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No funding information available for this research.

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