Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.289527
Title: An intelligent real-time lift scheduling system
Author: Hamdi, Muna
ISNI:       0000 0001 3528 0645
Awarding Body: Loughborough University
Current Institution: Loughborough University
Date of Award: 1999
Availability of Full Text:
Access from EThOS:
Access from Institution:
Abstract:
In modem high-rise buildings, a suitable control algorithm has to be chosen so that lifts can respond to passenger requests in such a way as to transport them quickly and efficiently to their destinations. The aim of the current work is to assess new scheduling approaches and intelligent monitoring techniques in order to aid the design of new lift systems and to improve the performance of existing installations. To achieve this, the project has been divided into three major parts. Firstly, a model of passenger movements has been developed from an analysis of data gathered from installed lift systems, thereby allowing the realistic simulation of landing calls, car calls and door opening times. Secondly, a lift simulator has been produced to allow the modular comparison of alternative scheduling and monitoring approaches and to provide an accurate model of lift dynamics. Thirdly, a new intelligent lift scheduling system has been implemented.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.289527  DOI: Not available
Keywords: Artificial intelligence
Share: