Applications of Heuristic Algorithms to Optimal Road Congestion Pricing
Autor Don Grahamen Limba Engleză Hardback – 4 oct 2023
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
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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
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 ProfessionalCuprins
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.