Book Details
Format
Hardcover
Pages
446
Language
English
Published
Mar 30, 2009
Publisher
Information Science Reference
Edition
1
ISBN-10
1605662267
ISBN-13
9781605662268
Description
In the rapidly evolving landscape of urban mobility, the need for innovative approaches to traffic management has never been more critical. Ana L. C. Bazzan delves into the realm of multi-agent systems, exploring how these technologies can enhance traffic and transportation engineering. Through a comprehensive examination, she highlights the potential of decentralized decision-making processes, enabling communities to respond dynamically to changing transport scenarios.
The book addresses pressing issues faced by modern cities, such as congestion, pollution, and the integration of smart transport systems. By leveraging multi-agent systems, the author illustrates how coordination among various agents can lead to improved efficiency and safer travel experiences. This approach not only fosters a better understanding of complex traffic flows but also paves the way for sustainable urban development.
Bazzan's insights draw on cutting-edge research and practical applications, making her work essential for both scholars and practitioners in the field. Her exploration encourages a rethinking of traditional traffic solutions, urging a shift towards systems that are adaptable, intelligent, and inherently collaborative.
The book addresses pressing issues faced by modern cities, such as congestion, pollution, and the integration of smart transport systems. By leveraging multi-agent systems, the author illustrates how coordination among various agents can lead to improved efficiency and safer travel experiences. This approach not only fosters a better understanding of complex traffic flows but also paves the way for sustainable urban development.
Bazzan's insights draw on cutting-edge research and practical applications, making her work essential for both scholars and practitioners in the field. Her exploration encourages a rethinking of traditional traffic solutions, urging a shift towards systems that are adaptable, intelligent, and inherently collaborative.
Genres
Science & Technology