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Applications of Heuristic Algorithms to Optimal Road Congestion Pricing
Udgivet af Taylor & Francis Ltd
ISBN
9781032415659
Om denne bog
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 …
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Bogdetaljer
Forfatter
Don Graham
Forlag
Taylor & Francis Ltd
Kategori
Byplanlægning: arkitektoniske aspekter
ISBN-13
9781032415659
EAN
9781032415659
Format
Indbundet
Sprog
Engelsk
sider
142
Produktbeskrivelse
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.
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