Multi-scale evaluation of diesel commuter rail fuel use, emissions, and eco-driving

Yuan, Wenqiao; Frey, H. Christopher

doi:10.1016/j.trd.2021.102995

Cited by 4 publications

(1 citation statement)

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“…Ecodriving and optimum train speed control strategies to reduce energy consumption in railways are found in various references [3][4][5][6][7][8][9][10][11][12][13][14][15]. Lukaszewicz [3] conducted research on train driver models to assess the train's running time and energy usage in simulations.…”

Section: Introductionmentioning

confidence: 99%

Simple Diesel Train Fuel Consumption Model for Real-Time Train Applications

et al. 2023

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This paper introduces a simple diesel train energy consumption model that calculates the instantaneous energy consumption using vehicle operational input variables, including the instantaneous speed, acceleration, and roadway grade, which can be easily obtained from global positioning system (GPS) loggers. The model was tested against real-world data and produced an error of −1.33% for all data and errors ranging from −12.4% to +8.0% for energy consumption of four train datasets amounting to a total of 5854 km trips. The study also validated the proposed model with separate data that were collected between Valencia and Cuenca, Spain, which had a total length of 198 km and found that the model was accurate, yielding a relative error of −1.55% for the total energy consumption. These results show that the proposed model can be used by train operators, transportation planners, policy makers, and environmental engineers to evaluate the energy consumption effects of train operational projects and train simulation within intermodal transportation planning tools.

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