Control of Traffic Systems in Buildings

  • Sandor Markon
  • Hiroshi Kise
  • Hajime Kita
  • Thomas Bartz-Beielstein

Part of the Advances in Industrial Control book series (AIC)

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Transportation Systems

  3. Modeling and Simulation

  4. Intelligent Control Methods for Transportation Systems

  5. Topics in Modern Control for Transportation Systems

About this book

Introduction

Transportation systems in buildings are part of everyday life: whether ferrying people twenty storeys up to the office or moving luggage to the airport check-in, 21st-century man relies on them.

Control of Traffic Systems in Buildings presents the state of the art in the analysis and control of transportation systems in buildings focusing primarily on elevator groups. The theory and design of passenger traffic and cargo transport systems are covered, together with actual operational examples and topics of special current interest such as:

• noisy, on-line and algorithmic optimization;

• simulation-based modeling of passengers and goods;

• control of cooperative agent-oriented systems;

• proposal for a benchmark to compare new control methods;

• deployment and testing of transportation systems.

Special attention is given to the techniques and uses of simulation and a working simulator is included that allows readers to explore the subject for themselves.

The safe running of such automated traffic systems, though vital, gets rather taken for granted but workers in elevator control have pioneered the development of many modern control systems for employment in all sorts of traffic and scheduled systems being among the first to realize the potential of techniques like fuzzy logic, neural networks and genetic algorithms. For this reason, this exposition of recent work in in-building transport control will be of considerable interest to researchers and engineers in many areas of control, particularly those working in optimal or supervisory control, urban transportation systems and intelligent transport systems as well as to those directly interested in the elevator control systems under discussion.

 

 

Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Keywords

Control Escalators Fuzzy Neural Networks Optimal Control Passenger Traffic Simulation Supervisory Control Tracking Vertical Transportation algorithms evolutionary strategies fuzzy logic genetic algorithms learning

Authors and affiliations

  • Sandor Markon
    • 1
  • Hiroshi Kise
    • 2
  • Hajime Kita
    • 3
  • Thomas Bartz-Beielstein
    • 4
  1. 1.Product Development HQFUJITEC Co., Ltd.ShigaJapan
  2. 2.Department of Mechanical and System EngineeringKyoto Institute of TechnologyKyotoJapan
  3. 3.Academic Center for Computing and Media StudiesKyoto UniversityKyotoJapan
  4. 4.Department of Computer ScienceUniversity of DortmundDortmundGermany

Bibliographic information

  • DOI https://doi.org/10.1007/1-84628-449-X
  • Copyright Information Springer-Verlag London Limited 2006
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-1-84628-448-9
  • Online ISBN 978-1-84628-449-6
  • Series Print ISSN 1430-9491
  • Series Online ISSN 2193-1577
  • About this book