Energy-Efficient Train Operation Using Nature-Inspired Algorithms

• Published in: Journal of advanced transportation Vol. 2017; no. 2017; pp. 1 - 12
• Main Authors: Keskin, Kemal, Karamancioglu, Abdurrahman
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 01.01.2017; Hindawi; John Wiley & Sons, Inc; Wiley
• Subjects: Algorithms; Case studies; Coasting; Computer simulation; Driving ability; Dynamic programming; Energy consumption; Energy efficiency; Energy use; Evolutionary algorithms; Genetic algorithms; Heuristic; Infrastructure; Integer programming; Light rail transit; Management; Mathematical optimization; Methods; Objective function; Optimization; Railroads; Simulated annealing; Studies; Trains; Transportation

A train operation optimization by minimizing its traction energy subject to various constraints is carried out using nature-inspired evolutionary algorithms. The optimization process results in switching points that initiate cruising and coasting phases of the driving. Due to nonlinear optimization...