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, which makes many transportation problems combinatorial, and the challenges are compounded by the stochastic and independent nature of trip-planners decision making. Methods outlined 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 optimisation. The book is supported with problems and has a solutions manual for adopting course instructors.
‘[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
1. Mathematical Programming applications in traffic and transportation
2. Optimal Paths in Transportation Networks
3. Multi Attribute Decision Making and Data Envelopment Analysis
4. Probability Theory and Traffic Phenomena
7. Queueing in Transportation
8. Solving transportation engineering problems by heuristic and metaheuristic algorithms
Appendix: Values of cumulative probabilities of standard normal distribution, Values for Chi-Square distribution