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Quantitative methods in transportation

By: Contributor(s): Material type: TextTextPublication details: CRC Press 2020 Boca RatonDescription: xvii, 462 p.: ill. Includes bibliographical references and indexISBN:
  • 9780367250539
Subject(s): DDC classification:
  • 388.310721 T3Q8
Summary: 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 solution manual to aid course instructors. https://www.routledge.com/Quantitative-Methods-in-Transportation/Teodorovic-Nikolic/p/book/9780367250539
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Table of Contents:

1. Mathematical programming
2. Optimal paths
3. Multi-attribute decision-making
4. Probability theory
5. Statistics
6. Simulation
7. Queueing theory
8. Heuristic and metaheuristic algorithms

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 solution manual to aid course instructors.

https://www.routledge.com/Quantitative-Methods-in-Transportation/Teodorovic-Nikolic/p/book/9780367250539

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