DEPLOYMENT OF AN EFFICIENT ALGORITHM FOR SEARCHING MOTOR VEHICLE DATABASE

AKOMOLAFE, DIPO THEOPHILUS and NWANZE, NGOZI MAUREEN (2021) DEPLOYMENT OF AN EFFICIENT ALGORITHM FOR SEARCHING MOTOR VEHICLE DATABASE. Asian Journal of Advances in Research, 4 (1). pp. 968-976.

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Abstract

Transportation is a requirement for every nation regardless of its level of development. Moving goods and people from one place to another is crucial to maintaining strong economic and political ties between the various components of any given nation and among nations. How that movement takes place can be determined by several variables but the most reliable and widely embraced means of transportation is road. Road transportation is the most widely used means of transportation due to its cheapness and capability to penetrate remotest parts of any town and village. Therefore, various measures and devices had been and are being developed to enhance its continuity, sustainability and safety. Most of these measures rely on database. Database is a structured set of data held in a computer, especially one that is accessible in various ways. In order to enhance a smooth running of database developed for the purpose of road transportation generally and searching of vehicles in particular, there is the need to deploy an efficient searching algorithm.

In this research, a database developed for vehicles was used as a focus point. Different search algorithms were deployed to test the database, their complexities were derived and it was discovered that these were not fast enough, effective and efficient when implemented on road transport database. Consequently, the need to develop the most efficient algorithm that could guarantee fast and quick response to queries and present results with minimum delay was necessitated.

Item Type: Article
Subjects: Academic Digital Library > Multidisciplinary
Depositing User: Unnamed user with email info@academicdigitallibrary.org
Date Deposited: 13 Jan 2024 04:29
Last Modified: 13 Jan 2024 04:29
URI: http://publications.article4sub.com/id/eprint/2618

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