2019
DOI: 10.1155/2019/4364162
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Cost-Effective, Time-Efficient Passenger Rail System for the Eastern United States

Abstract: A program was developed using a genetic algorithm and automated lookup features to design an efficient passenger rail system for the eastern-half of the United States connecting large cities, metropolitan populations greater than two million, with overnight rail service. The results of the program predicted a passenger starting at the farthest point of the system boards the train at 16:02 on average and arrives at a different point of the system at 07:57 on average the following day, assuming the train travels… Show more

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Cited by 3 publications
(1 citation statement)
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“…The velocity assigned was 11,666 mm/s (El-sayed et al, 2018;Jaifu et al, 2018) and the wheel displacement was defined as 600 mm, which is the distance between two sleepers and it is quite enough to learn the dynamic response of the rail due to bending. Having a shorter rail enables the model to have a very fine mesh with a significant reduction in computational time/cost (Mathias and Kim, 2019;Baiges et al, 2020).…”
Section: Boundary Conditionsmentioning
confidence: 99%
“…The velocity assigned was 11,666 mm/s (El-sayed et al, 2018;Jaifu et al, 2018) and the wheel displacement was defined as 600 mm, which is the distance between two sleepers and it is quite enough to learn the dynamic response of the rail due to bending. Having a shorter rail enables the model to have a very fine mesh with a significant reduction in computational time/cost (Mathias and Kim, 2019;Baiges et al, 2020).…”
Section: Boundary Conditionsmentioning
confidence: 99%