nanoll extt
Please use this identifier to cite or link to this item: http://lrcdrs.bennett.edu.in:80/handle/123456789/4638
Title: Parking Allotment System PARK-A-LOT
Authors: Golash, Richa
Priyanka
Pradhan, Atishya
Issue Date: 2023
Publisher: Cyber Tech Publications
Abstract: As the system marks a significant advancement in parking space management, this report outlines future directions, including the integration of smart technologies, machine learning algorithms for predictive space availability, and expansion to additional platforms. The collaborative effort presented herein lays the groundwork for a more streamlined and intelligent approach to parking management, contributing to the ongoing evolution of smart urban infrastructure._x000D_ In addition to its current capabilities, the Parking Allotment System is poised to embrace the frontier of smart technologies and data-driven decision-making. The next phase of development envisions the integration of cutting-edge machine learning algorithms to predict and optimize parking space availability. By leveraging historical usage patterns and real-time data, the system aims to provide users with accurate predictions, reducing the uncertainty associated with finding parking spaces.
URI: http://lrcdrs.bennett.edu.in:80/handle/123456789/4638
ISSN: 978-93-5053-895-1
Appears in Collections:Book Chapters_ SCSET

Files in This Item:
File SizeFormat 
Ch_16_978-93-5053-895-1.pdf
  Restricted Access
4.66 MBAdobe PDFView/Open Request a copy

Contact admin for Full-Text

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.