Applications of Heuristic Algorithms to Optimal Road Congestion Pricing e-bog
177,19 DKK
(inkl. moms 221,49 DKK)
Road congestion imposes major financial, social, and environmental costs. One solution is the operation of high-occupancy toll (HOT) lanes. This book outlines a method for dynamic pricing for HOT lanes based on non-linear programming (NLP) techniques, finite difference stochastic approximation, genetic algorithms, and simulated annealing stochastic algorithms, working within a cell transmission...
E-bog
177,19 DKK
Forlag
CRC Press
Udgivet
4 oktober 2023
Længde
142 sider
Genrer
Transport planning and policy
Sprog
English
Format
epub
Beskyttelse
LCP
ISBN
9781003811824
Road congestion imposes major financial, social, and environmental costs. One solution is the operation of high-occupancy toll (HOT) lanes. This book outlines a method for dynamic pricing for HOT lanes based on non-linear programming (NLP) techniques, finite difference stochastic approximation, genetic algorithms, and simulated annealing stochastic algorithms, working within a cell transmission framework. The result is a solution for optimal flow and optimal toll to minimize total travel time and reduce congestion.ANOVA results are presented which show differences in the performance of the NLP algorithms in solving this problem and reducing travel time, and econometric forecasting methods utilizing vector autoregressive techniques are shown to successfully forecast demand.The book compares different optimization approachesIt presents case studies from around the world, such as the I-95 Express HOT Lane in Miami, USAApplications of Heuristic Algorithms to Optimal Road Congestion Pricing is ideal for transportation practitioners and researchers.