Ideal Flow Network for Transportation Research: Unveiling the Hidden Secret of Nature to Solve Traffic Congestion
暫譯: 交通研究的理想流網路：揭示自然的隱藏秘密以解決交通擁堵
Teknomo, Kardi
- 出版商: Springer
- 出版日期: 2026-02-06
- 售價: $8,190
- 貴賓價: 9.5 折 $7,780
- 語言: 英文
- 頁數: 478
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 9819547261
- ISBN-13: 9789819547265
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相關分類:
流體力學 Fluid-mechanics
海外代購書籍(需單獨結帳)
相關主題
商品描述
This book introduces groundbreaking concepts for understanding and managing urban traffic congestion through the lens of the Ideal Flow Network (IFN). Developed over a decade of research, grounded in graph theory, information theory, and Markov chains principles, it reveals that every network has a natural, optimal steady-state flow distribution, which is an intrinsic property of a network's structure, independent of transient demand. The central thesis presents Premagic Equilibrium, a theoretical state where congestion is uniformly distributed across all links, and mathematically proves how this ideal resolves the classic tension between individual driver choices and system-wide efficiency. Planners will discover practical, data-light techniques to calibrate the model that sidesteps costly origin-destination matrices. Readers will explore a formal "chemistry of transport policy" where interventions are defined as auditable "atomic" and "molecular" actions. This approach provides a systematic grammar for policy design, simulation, and optimization. All of these original insights aim to provide an innovative theoretical solution to traffic congestion. With accessible mathematical explanations, step-by-step guides, and integration with practical tools such as IFN-Transport software (available as open source on GitHub and online in Revoledu.com) and an IFN Excel Add-In, this book empower readers to experiment with the theory and apply it to real-world situations. Illustrations, tables, and diagrams clarify complex ideas, making the content approachable for both professionals and students in transport engineering, urban planning, computer science, geography, and related fields. This book not only reveals hidden patterns in nature through the mathematics of IFN but also empowers readers to tackle traffic congestion creatively and ethically, offering theoretical and practical benefits to researchers, software developers, and problem solvers alike.
商品描述(中文翻譯)
本書介紹了透過理想流網路（Ideal Flow Network, IFN）的視角來理解和管理城市交通擁堵的突破性概念。這些概念經過十年的研究發展，基於圖論、信息理論和馬可夫鏈原則，揭示了每個網路都有一個自然的、最佳的穩態流量分佈，這是網路結構的內在特性，與瞬時需求無關。核心論點提出了「前魔法平衡」（Premagic Equilibrium），這是一種理論狀態，其中擁堵均勻分佈於所有連結，並數學上證明了這一理想如何解決個別駕駛者選擇與系統整體效率之間的經典緊張關係。規劃者將發現實用的、數據輕量的技術來校準模型，避免昂貴的起點-終點矩陣。讀者將探索一種正式的「交通政策化學」，其中干預措施被定義為可審計的「原子」和「分子」行動。這種方法為政策設計、模擬和優化提供了一種系統化的語法。所有這些原創見解旨在為交通擁堵提供創新的理論解決方案。書中提供了易於理解的數學解釋、逐步指南，以及與實用工具的整合，如IFN-Transport軟體（可在GitHub上以開源形式獲得，並在Revoledu.com上線上使用）和IFN Excel附加元件，這使讀者能夠實驗這一理論並將其應用於現實情況。插圖、表格和圖表澄清了複雜的概念，使內容對交通工程、城市規劃、計算機科學、地理學及相關領域的專業人士和學生都易於接觸。本書不僅通過IFN的數學揭示了自然界中的隱藏模式，還使讀者能夠以創造性和道德的方式應對交通擁堵，為研究人員、軟體開發者和問題解決者提供理論和實踐上的益處。
作者簡介
Dr. Kardi Teknomo is an internationally recognized expert in the field of transportation engineering, applied mathematics, and computer science. He is best known for his pioneering work on the Ideal Flow Network, Teknomo-Fernandez algorithm, the queuing rule of thumb (QROT), as well as for his numerous educational tutorials in Revoledu.Com. With extensive experience as an international consultant for organizations such as the International Finance Corporation--World Bank Group, Toyota Corp, and Decathlon, has contributed significantly to advancing research and innovation in mobility systems worldwide. He held academic positions at Ateneo de Manila University (Philippines), Saga University (Japan), the University of Wisconsin (USA), Petra Christian University (Indonesia), and served as a Hertha Finberg Research Fellow at Austrian Institute of Technology. He is currently affiliated with the University of the Philippines Diliman School of Urban and Regional Planning.
作者簡介(中文翻譯)
Dr. Kardi Teknomo 是國際公認的交通工程、應用數學和計算機科學領域專家。他以在理想流網絡（Ideal Flow Network）、Teknomo-Fernandez 演算法、排隊經驗法則（QROT）方面的開創性工作而聞名，並且在 Revoledu.Com 上提供了許多教育教程。作為國際顧問，他擁有豐富的經驗，曾為國際金融公司（International Finance Corporation）- 世界銀行集團、豐田汽車（Toyota Corp）和 Decathlon 等組織提供顧問服務，對全球移動系統的研究和創新做出了重要貢獻。他曾在馬尼拉雅典耀大學（Ateneo de Manila University，菲律賓）、佐賀大學（Saga University，日本）、威斯康辛大學（University of Wisconsin，美國）、彼得基督大學（Petra Christian University，印尼）擔任學術職位，並曾在奧地利科技研究所（Austrian Institute of Technology）擔任赫爾塔·芬伯格研究員（Hertha Finberg Research Fellow）。他目前隸屬於菲律賓大學迪利曼校區的城市與區域規劃學院（School of Urban and Regional Planning）。
