
Quantitative Methods in Transportation
Description
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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.
Reviews / Votes
'[The book] articulates novel, leading edge quantitative methods that include metaheuristic methods and artificial intelligence applications. These are relatively new in transportation.'-- David Gillingwater, Loughborough University, UK
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Persons
Dr Milos Nikolic is Assistant Professor at the University of Belgrade, Serbia, and he has been a visiting scholar at the University of California, Berkeley.
Content
2. Optimal paths
3. Multi-attribute decision-making
4. Probability theory
5. Statistics
6. Simulation
7. Queueing theory
8. Heuristic and metaheuristic algorithms
Appendix
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