Quantitative Methods in Transportation

Quantitative Methods in Transportationprovides 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.