Applications of Heuristic Algorithms to Optimal Road Congestion Pricing eBook

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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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Additional ISBNs
9781032415666, 9781003358701, 9781003811800

Applications of Heuristic Algorithms to Optimal Road Congestion Pricing 1st Edition is written by Don Graham and published by CRC Press. The Digital and eTextbook ISBNs for Applications of Heuristic Algorithms to Optimal Road Congestion Pricing are 9781003811824, 1003811825 and the print ISBNs are 9781032415659, 1032415657. Additional ISBNs for this eTextbook include 9781032415666, 9781003358701, 9781003811800.