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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM19532

CARBUDDY: RIDE-SHARING PLATFORM

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM19532

Volume:

7 |

4 |

Apr 2023

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

SB

Sharayu Banait

PP

Priyanka Pardeshi

CM

Chetan Mahajan

MB

Mahendra Bagul

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Abstract

The rapidly increasing number of vehicles and commuters leads to an increase in traffic congestion and the problems associated with it. It requires the study of alternative measures to scale down the number of vehicles travelling daily, especially single-occupant vehicles. Several researches conducted revealed that carpooling can be an efficient solution to relieve the pressure due to traffic. The carpooling is a system by which a person offers his or her private vehicle to one or more commuters who have similar destinations or routes. Carpooling is effective solution to reduce the traffic. It consists of increasing the occupancy of vehicles by occupying empty seats in the vehicle effectively. The current system is not enough as far as small regions are considered and it has scalability issue. Our system will provide a secure interface for connecting drivers and commuters to share the ride wherein we are aiming to provide this service in small regions also so that daily commuters like office-goers and students can also be facilitated and can contribute in reducing traffic thus saving environment. We are using genetic algorithm which will help in coordinating ride matches via the carpool system.

KEYWORDS

Carpool Genetic Algorithm Stochastic Time Partition Merging Traffic Congestion.

Cite This Article

Sharayu Banait, Priyanka Pardeshi, Chetan Mahajan, Mahendra Bagul, "CARBUDDY: RIDE-SHARING PLATFORM," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 4, Apr 2023.

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Publication Date

4/25/2023

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Double-Blind Peer Review

Review Rounds: 2

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0

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3

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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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