Neural Networks, Wavelets, and Chaos Theory for Intelligent Transportation Systems and Smart Structures
Recent estimates hypothesize that the US will need $1.6 trillion dollars for the rehabilitation, replacement, and maintenance of existing infrastructure systems within the next 20 years. Presenting a new vision and way of designing and managing the civil infrastructure of the nation, Intelligent Infrastructure: Neural Networks, Wavelets, and Chaos Theory for Intelligent Transportation Systems and Smart Structures presents the foundations of intelligent infrastructure. It presents novel technologies, methods, and detailed computational algorithms for creation of smart structures and intelligent freeways.
This book crosses the two disciplines of structural engineering and transportation engineering and provides a unique treatise for attacking and solving some of the most complex and intractable problems encountered in the emerging fields of smart structures and intelligent transportation systems. It demonstrates how some of these problems can be solved effectively through ingenious integration of several different computing paradigms including chaos theory (based on nonlinear dynamics theory), wavelets (a signal processing method), and three complementary soft computing methods: fuzzy logic, neural networks, and genetic algorithms.
Adeli and Jiang discuss multidisciplinary methodologies for health and monitoring and nonlinear active control of tall building structure subject to dynamic loading such as those due to winds or earthquake. Delineating an approach to infrastructure system engineering and management that is both modern and futuristic, the authors explore the advanced computing technologies that will play an important role in the creation of an effective smart structure technology.
Table of Contents
Artificial Neural Networks Wavelets. Chaos Theory. Freeway Incident Detection. Micro-Simulation Model for Traffic Delay and Queue Length Estimation in Freeway Work Zones. Traffic Delay Estimation and Cost Optimization in Freeway Work Zones. Neuro-Fuzzy Logic Model for Work Zone Capacity Estimation. Clustering Neural Network Models for Work Zone Capacity Estimation and Parametric Study. Object-Oriented Model for Work Zone Capacity and Delay Estimation. Wavelet Analysis of Traffic Flow Time Series. Wavelet Neural Network for Traffic Flow Forecasting. Dynamic Fuzzy Wavelet Neural Network for Structural System Identification. Nonlinear System Identification of High-Rising Building Structures. Damage Detection and Health Monitoring of Structures. Nonlinear Control of Smart Structures. Neuro-Genetic Algorithm for Nonlinear Control of Smart Structures.
Adeli, Hojjat; Jiang, Xiaomo