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 controlsystems under discussion.
Part I: Transportation Systems.- Introduction.- Passenger Transportation Systems.- Cargo Transportation Systems.- External Connections and Related Systems.- Part II: Modeling and Simulation.- General Modeling Concepts.- Queuing Models.- Modeling Techniques for Discrete Event Systems.- Scheduling Models with Transportation.- Part III: Intelligent Control Methods for Transportation Systems.- Analytical and Heuristic Control of Transportation Systems.- Adaptive Control by Neural Networks and Reinforcement Learning.- Genetic Algorithms for Control System Optimization.- Control Systems by Evolutionary Strategies and Particle Swarm Optimization.- Intelligent Control by Combinatorial Optimization.- Part IV: Topics in Modern Control for Transportation Systems.- The 'S-ring': A Transportation System Model for Benchmarking.- Elevator Group Control by Neural Networks and Stochastic Approximation.- Optimal Control by Evolutionary Strategies and Particle Swarm Optimisation.- AGVs and Elevators in High-rise Buildings.- Optimal Control of Multi-car Elevator Systems by Genetic Algorithms.- Analysis and Optimization for Automated Vehicle Routing on Single Loop.- Tabu-based Optimization for Input/Output Scheduling in a Single Warehouse.- Program Listings.
Sandor Markon has 25 years experience as a designer, researcher and manager dealing with control systems with major elevator manufacturers. He is also active in publishing papers and abstracts in related fields. He has been involved in the installation of four generations of elevator systems in buildings world-wide. The current volume would gathers that knowledge together with that of other researchers currently scattered in short articles, patent disclosures, etc., into one place.