£139.67

Springer Ideal Flow Network for Transportation Research - AI & Infrastructure

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£139.67 £125.13 £128.30 £131.47 £134.65 £137.82 £140.99 10 July 2026 31 July 2026 21 August 2026 11 September 2026 02 October 2026

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Description

Explore cutting-edge solutions to traffic congestion through ideal flow network theory in this comprehensive Springer lecture notes volume. This academic resource unveils fundamental principles from nature that engineers and researchers apply to modern transportation systems. Ideal Flow Network for Transportation Research combines theoretical foundations with practical applications, making it essential for professionals, students, and academics working in intelligent transportation, network optimisation, and infrastructure development. The book bridges computer science and transportation engineering, offering insights into how natural flow patterns inform solutions for urban mobility challenges and congestion management strategies.

Key Features

Published by Springer, a leading academic publisher specialising in engineering and computer science research materials.

Lecture notes format designed for academic study and professional reference in transportation infrastructure fields.

Addresses ideal flow network theory as applied to modern transportation congestion problems.

Combines AI and machine learning perspectives with transportation research methodologies.

Suitable for researchers, graduate students, and industry professionals in intelligent transportation systems.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
06 February 2026
Listed Since
12 October 2025

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