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Applications of Heuristic Algorithms to Optimal Road Congestion Pricing

Autor Don Graham
en Limba Engleză Hardback – 4 oct 2023
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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Specificații

ISBN-13: 9781032415659
ISBN-10: 1032415657
Pagini: 152
Ilustrații: 17 Tables, black and white; 17 Line drawings, black and white; 6 Halftones, black and white; 23 Illustrations, black and white
Dimensiuni: 138 x 216 x 15 mm
Greutate: 0.33 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press

Public țintă

Postgraduate and Professional

Cuprins

1. Introduction.  2. Literature Review.  3. Congestion Pricing Models.  4. Model Formulation and Results.  5. Data Collection and Demand Forecasting.  6. I-95 Lessons Learned.  7. Congestion Charge Case Studies.  

Notă biografică

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.

Descriere

This outlines a method for dynamic pricing of high-occupancy toll lanes based on non-linear programming techniques, finite difference stochastic approximation, genetic algorithms and simulated annealing stochastic algorithms, coupled with vector autoregressive techniques, producing a solution for optimal flows and optimal tolls.