£123.11

Springer Ideal Flow Network for Transportation Research Book

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Description

Explore new perspectives on urban mobility with Ideal Flow Network for Transportation Research. Published by Springer as part of the Lecture Notes in Intelligent Transportation and Infrastructure series, this book examines how natural patterns can provide solutions for modern traffic congestion. This academic resource focuses on the intersection of nature and engineering to address complex transportation challenges. It serves as a specialized text for those studying computer science, AI, and machine learning within the context of infrastructure and intelligent transport systems. By studying these hidden natural principles, researchers can find new ways to optimize flow and reduce congestion in growing networks. This book is an essential addition to any technical library focused on advanced computing and intelligent transportation solutions.

Key Features

Part of the specialized Lecture Notes in Intelligent Transportation and Infrastructure series by Springer.

Focuses on using natural principles to address and solve modern traffic congestion issues.

Provides research insights into the application of AI and machine learning for transportation.

Academic text designed for researchers in computer science and intelligent infrastructure.

Explores the relationship between natural flow networks and urban transportation systems.

Product Specifications

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

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