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Applications of Heuristic Algorithms to Optimal Road Congestion Pricing

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Τίτλος: Applications of Heuristic Algorithms to Optimal Road Congestion Pricing
Περιγραφή: 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.
Συγγραφείς: Don Graham
Resource Type: eBook.
Θέματα: Congestion pricing--Mathematical models, Congestion pricing--Data processing
Categories: TECHNOLOGY & ENGINEERING / Civil / Highway & Traffic, BUSINESS & ECONOMICS / Econometrics
Βάση Δεδομένων: eBook Index
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  Availability: 0
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DbLabel: eBook Index
An: 3687859
RelevancyScore: 969
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 968.509704589844
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  Data: 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.
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 338.11
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Congestion pricing--Mathematical models
        Type: general
      – SubjectFull: Congestion pricing--Data processing
        Type: general
    Titles:
      – TitleFull: Applications of Heuristic Algorithms to Optimal Road Congestion Pricing
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            NameFull: Don Graham
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2023
            – D: 01
              M: 11
              Type: profile
              Y: 2023
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              Value: 9781032415666
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              Value: 9781003358701
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              Value: 9781003811800
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          Titles:
            – TitleFull: Applications of Heuristic Algorithms to Optimal Road Congestion Pricing
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