UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 11
November-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2211392


Registration ID:
504715

Page Number

d658-d664

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Title

Prediction Of Cab Cancellation

Abstract

Cab booking cancellation have been one of the most common issues being faced in transport services. To understand the actual reason for the cancellation, it’s important to understand the behavior of driver and the customer by analyzing their activity patterns from existing data which contains the ride history of his previous bookings, pickup location, drop location, distance to pick- up, and ride acceptance rate. Using this existing data and BI tools or data representation languages like python or R we can predict the cab cancellation rate, which helps in understanding driver’s behavior to prevent further cancellations and match drivers to customers where the probability of a successful ride is high

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"Prediction Of Cab Cancellation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 11, page no.d658-d664, November-2022, Available :http://www.jetir.org/papers/JETIR2211392.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Prediction Of Cab Cancellation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 11, page no. ppd658-d664, November-2022, Available at : http://www.jetir.org/papers/JETIR2211392.pdf

Publication Details

Published Paper ID: JETIR2211392
Registration ID: 504715
Published In: Volume 9 | Issue 11 | Year November-2022
DOI (Digital Object Identifier):
Page No: d658-d664
Country: Medchal- Malkajgiri, Telangana, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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