A genetic algorithm approach to autonomous smart vehicle parking system

Diya Thomas*, Binsu C. Kovoor

*Corresponding author for this work

Research output: Contribution to journalConference paperpeer-review

32 Citations (Scopus)
233 Downloads (Pure)

Abstract

The shopping malls are source of entertainment and pleasure for the public during weekends. People struggling to park their vehicle in parking bay of shopping mall is a usual scenario witnessed at those peak times. Customer precious time and fuel is wasted and they get only few time for shopping. Authorities find it difficult to cope up with this situation even after appointing more employees to manage the traffic experienced in the bay. A smart car parking system that could elevate this problem is an urgent requirement for the shopping mall. This paper falls light on this issue by proposing a new prototype for the smart vehicle parking system. A genetic algorithm approach has been taken to address the issue of scheduling the vehicle to the parking bay.

Original languageEnglish
Pages (from-to)68-76
Number of pages9
JournalProcedia Computer Science
Volume125
DOIs
Publication statusPublished - 1 Jan 2018
Externally publishedYes
Event6th International Conference on Smart Computing and Communications, ICSCC 2017 - Kurukshetra, Haryana, India
Duration: 7 Dec 20178 Dec 2017

Bibliographical note

Copyright the Author(s) 2018. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

  • Autonomous Trolley
  • Genetic Algorithm
  • IOT
  • Queuing theory
  • Smart parking

Fingerprint

Dive into the research topics of 'A genetic algorithm approach to autonomous smart vehicle parking system'. Together they form a unique fingerprint.

Cite this