Ebook: Control of Traffic Systems in Buildings

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, 21^st-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.

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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, 21^st-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.

---

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, 21^st-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.

Content:
Front Matter....Pages i-xxi
Front Matter....Pages 1-1
Introduction....Pages 3-5
Passenger Transportation Systems....Pages 7-14
Cargo Transportation Systems....Pages 15-18
External Connections and Related Systems....Pages 19-20
Front Matter....Pages 21-21
General Modeling Concepts....Pages 23-32
Queuing Models....Pages 33-37
Modeling Techniques for Discrete Event Systems....Pages 39-53
Scheduling Models with Transportation....Pages 55-66
Front Matter....Pages 67-67
Analytical and Heuristic Control of Transportation Systems....Pages 69-78
Adaptive Control by Neural Networks and Reinforcement Learning....Pages 79-101
Genetic Algorithms for Control-system Optimization....Pages 103-119
Control System Optimization by Evolution Strategies and Particle Swarm Optimization....Pages 121-141
Intelligent Control by Combinatorial Optimization....Pages 143-148
Front Matter....Pages 149-149
The S-ring: a Transportation System Model for Benchmarking....Pages 151-162
Elevator Group Control by Neural Networks and Stochastic Approximation....Pages 163-186
Optimal Control by Evolution Strategies and Particle Swarm Optimization....Pages 187-209
On Adaptive Cooperation of AGVs and Elevators in Buildings....Pages 211-220
Optimal Control of Multicar Elevator Systems by Genetic Algorithms....Pages 221-233
Analysis and Optimization for Automated Vehicle Routing....Pages 235-249
Tabu-based Optimization for Input/Output Scheduling....Pages 251-256
Back Matter....Pages 257-279

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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, 21^st-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.

Content:
Front Matter....Pages i-xxi
Front Matter....Pages 1-1
Introduction....Pages 3-5
Passenger Transportation Systems....Pages 7-14
Cargo Transportation Systems....Pages 15-18
External Connections and Related Systems....Pages 19-20
Front Matter....Pages 21-21
General Modeling Concepts....Pages 23-32
Queuing Models....Pages 33-37
Modeling Techniques for Discrete Event Systems....Pages 39-53
Scheduling Models with Transportation....Pages 55-66
Front Matter....Pages 67-67
Analytical and Heuristic Control of Transportation Systems....Pages 69-78
Adaptive Control by Neural Networks and Reinforcement Learning....Pages 79-101
Genetic Algorithms for Control-system Optimization....Pages 103-119
Control System Optimization by Evolution Strategies and Particle Swarm Optimization....Pages 121-141
Intelligent Control by Combinatorial Optimization....Pages 143-148
Front Matter....Pages 149-149
The S-ring: a Transportation System Model for Benchmarking....Pages 151-162
Elevator Group Control by Neural Networks and Stochastic Approximation....Pages 163-186
Optimal Control by Evolution Strategies and Particle Swarm Optimization....Pages 187-209
On Adaptive Cooperation of AGVs and Elevators in Buildings....Pages 211-220
Optimal Control of Multicar Elevator Systems by Genetic Algorithms....Pages 221-233
Analysis and Optimization for Automated Vehicle Routing....Pages 235-249
Tabu-based Optimization for Input/Output Scheduling....Pages 251-256
Back Matter....Pages 257-279
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