Wavelets in Intelligent Transportation Systems
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Advancing the frontiers of computational intelligence, this book:
- Describes ingenious computational models based on novel problem solving and computing techniques such as Case-Based Reasoning, Neurocomputing, and Wavelets, and presents examples to illustrate their importance and use.
- Presents a multi-paradigm intelligent systems approach to the freeway traffic incident detection and construction work zone management problems.
- Advocates application and integration of wavelets, neural networks and fuzzy logic for modeling the complex traffic flow behaviors leading to effective and efficient control and management solutions.
- Presents efficient, reliable, and robust algorithms for automatic detection of incidents on freeways.
Wavelets in Intelligent Transportation Systems is an invaluable resource for computational intelligence researchers and transportation engineers involved in the application of advanced computational techniques for ITS.