Applications of Heuristic Algorithms to Optimal Road Congestion Pricing
Language: English
Published by CRC Press, 2025
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - 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. …
Seller Inventory # 9781032415666
- Title
- Applications of Heuristic Algorithms to Optimal Road Congestion Pricing
- Author
- Don Graham
- Publisher
- CRC Press
- Publication year
- 2025
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1032415665
- ISBN 13
- 9781032415666
- Item weight
- 203 grams
- Dimensions
- 216x140x9 mm
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 approaches
- It presents case studies from around the world, such as the I-95 Express HOT Lane in Miami, USA
Applications of Heuristic Algorithms to Optimal Road Congestion Pricing is ideal for transportation practitioners and researchers.
"Synopsis" may belong to another edition of this title.
About the Author
Don Graham is a Data Scientist and Consultant. He served as data science professor at Northwestern University and transportation professor at Florida Institute of Technology for over ten years, in addition to working in industry at The Institute for Defense Analysis, Lockheed, and AVIS.
"About the title" may belong to another edition of this title.
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