Energy performance in railway services: a calculation methodology and the influence of operation parameters

Coviello, Nicola; Bruno, Fabrizio

doi:10.1049/iet-its.2014.0135

Cited by 2 publications

(2 citation statements)

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“…To estimate the energy consumed by the train and the travel time [33][34][35], a simulator using Matlab-Simulink has been implemented. The equivalent mass of the train is modeled by the following:…”

Section: Description Of the Simulatormentioning

confidence: 99%

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Application of Genetic Algorithms for Driverless Subway Train Energy Optimization

Brenna

Foiadelli

Longo

2016

International Journal of Vehicular Technology

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After an introduction on the basic aspects of electric railway transports, focusing mainly on driverless subways and their related automation systems (ATC, ATP, and ATO), a technique for energy optimization of the train movement through their control using genetic algorithms will be presented. Genetic algorithms are a heuristic search and iterative stochastic method used in computing to find exact or approximate solutions to optimization problems. This optimization process has been calculated and tested on a real subway line in Milan through the implementation of a dedicated Matlab code. The so-defined algorithm provides the optimization of the trains movement through a coast control table created by the use of a genetic algorithm that minimizes the energy consumption and the train scheduled time. The obtained results suggest that the method is promising in minimizing the energy consumption of the electric trains.

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Section: Description Of the Simulatormentioning

confidence: 99%

“…Besides, given that the maximum number of possible commands of the control table is four, this guarantees an acceptable comfort to the passengers. In fact, in other studies done [35], the jerk is not considered in the evaluation of the fitness function.…”

Section: Fitness Functionmentioning

confidence: 99%