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This paper represents a comparison between some European prediction models for rail traffic noise.
Previous surveys by Cordeau et al. ([1998]) and Crainic ([2000, 2002]) reviewed optimization models for rail transportation.
Day et al. [19] is based on estimates from 8 sub-markets, which give NSDI from 0.18 % to 0.55 % for road traffic noise while the models for rail traffic noise indicate a higher NSDI around 0.67 %.
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The improvements were then assessed by applying a cost model for rail freight and truck transportation.
Assad [13] is providing a review of the models developed for rail transportation before eighties.
The main objective of this work is to develop early cost estimation models for light rail transit and metro trackworks using the multivariable regression and artificial neural network approaches.
In order to prove the effectiveness of a locomotive model, an example is available in [24], in which experiment data with the primary objective of verifying a model developed for rail joint defects were reported.
Congrats to Sarah MacLean for completing her Ph.D. entitled "A century of change in avifauna of California's most transformed landscapes" Laurie Hall, Nathan van Schmidt and Steve validate dispersal distance estimated by occupancy models for Black Rails in the Journal of Animal Ecology.
Two models for wheel-rail rolling contact that are based on the half-space assumption are compared in this paper: Hertz and the non-Hertzian method implemented in the computer program CONTACT.
Different models of rails for the high frequency range are compared.
In order to simulate the rail profiles evolution in the switch panel of a railway turnout, the simulation of vehicle turnout dynamic interaction, the wheel rail rolling contact model and rail material wear model are integrated as a numerical simulation tool for rail wear of the switch panel in this paper.
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