Quantitative methods in transportation[electronic resource]
- 作者: Teodorović, D.
- 其他作者: Nikolić, Miloš,
- 出版: Boca Raton, FL : CRC Press 2020.
- 版本: 1st ed.
- 稽核項: 1 online resource (xvii, 462 p.).
- 標題: Transportation engineering Planning. , Transportation engineering , Statistical methods. , Transportation , Transportation engineering Statistical methods. , Transportation engineering Mathematical models. , Mathematical models. , Transportation Mathematical models. , Planning.
- ISBN: 1000097706 , 9781000097702
- ISBN: 9780367250546 , 9780367250539
- 試查全文@TNUA:
- 附註: Includes bibliographical references and index. Mathematical Programming applications in traffic and transportation -- Optimal Paths in Transportation Networks -- Multi-Attribute Decision Making and Data Envelopment Analysis -- Probability Theory and Traffic Phenomena -- Statistics -- Simulation -- Queueing in Transportation -- Solving transportation engineering problems by heuristic and metaheuristic algorithms.
- 摘要: "This textbook of quantitative methods in transportation engineering comes with problems and a solutions manual for adopting course instructors. Basic mathematics and calculus are prerequisites"--
- 電子資源: https://dbs.tnua.edu.tw/login?url=https://www.taylorfrancis.com/books/9780429286919
- 系統號: 005331946
- 資料類型: 電子書
- 讀者標籤: 需登入
- 引用網址: 複製連結
Quantitative Methods in Transportation provides the most useful, simple, and advanced quantitative techniques for solving real-life transportation engineering problems. It aims to help transportation engineers and analysts to predict travel and freight demand, plan new transportation networks, and develop various traffic control strategies that are safer, more cost effective, and greener. Transportation networks can be exceptionally large, and this makes many transportation problems combinatorial, and the challenges are compounded by the stochastic and independent nature of trip-planners decision making. Methods outlined in this book range from linear programming, multi-attribute decision making, data envelopment analysis, probability theory, and simulation to computer techniques such as genetic algorithms, simulated annealing, tabu search, ant colony optimization, and bee colony optimization. The book is supported with problems and has a solutions manual to aid course instructors.
來源: Google Book
來源: Google Book
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